automotive artificial intelligence (ai) · 4 automotive ai –introduction source: capgemini,...

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Automotive Artificial Intelligence (AI)

Full Stack Software

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Table of Contents

1 Market Overview

2 Geographic Landscape

3 Technology Overview

4 Paradigm Shift

5 Opportunities and Threats

6 Market Participants

7

Company Profiles8

M&A and Private Placements

2-7

8-11

12-17

18-20

21-25

26-29

37-82

30-36

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1.

Automotive AI Software

Market Overview

4

Automotive AI – Introduction

Source: Capgemini, Allied Market Research, MarketsandMarkets, Mordor Intelligence, Fierce Electronics

Artificial intelligence (AI) is a collective term for the capabilities shown by learning systems that are perceived by humans as representing intelligence. Automotive AI software helps in infusing intelligence in automotive that powers an AI revolution in the automotive industry. Automotive AI software drives four disruptive and mutually reinforcing trends: autonomous driving, connectivity, electrification, and shared mobility .

Market Definition

Autonomous objects

Image and video recognition

Natural language processing

Speech

Augmented creativity

Conversational agents

Prescriptive modeling

Smart automation

Advanced simulation

Complex analytics and predictions

Typical AI capabilities

5

Automotive AI Software – Market Overview (1/2)

Source: Deloitte

• Revenue from automotive AI software, hardware, and services will increase from USD 2.0bn in 2018 to USD 26.5bn by 2025, representing a compound annual growth rate (CAGR) of 46.9%

− Such growth will be driven by growing acceptance of self-driving vehicles, and in-car assistants driven by natural language processing and machine learning techniques

• New players from the tech sector are entering the stage in the automotive industry, while traditional manufacturers and suppliers are trying hard to continuously shorten development cycles and to catch up with the inevitable move into the new software era

• Tech giants such as NVIDIA and Intel; internet players such as Google (Waymo); and new mobility startups such as Aurora, Cruise, and Uber are reaping the rewards of an entirely new future mobility era

• Companies such as Alphabet Inc. (US), Microsoft Corporation (US), Waymo (US), drive.ai (US), and NVIDIA (US) are among the frontrunners in the development of AI software for the automotive industry

Automotive AI Software, Hardware, and Services Market (2016-25)

• North America is likely to be one of the significant contributors to the automotive AI market

− The growth is anticipated to be driven by two primary factors: rapid development of autonomous vehicle technology and the strict government regulation for road safety

• The automotive AI market is expected to grow at a high rate in APAC between 2017 and 2025

− APAC’s massive population, fast-growing economies, and rising living standards are well positioned to ride the AI wave

− The Asian countries such as South Korea, Japan, China, and India possess strong technological capabilities, due to which major technology leader in the market are investing in these countries

− Presence of established automakers such as Toyota (Japan), Hyundai Motor Company (South Korea), and Honda Motor Company (Japan) supports further growth in automotive AI market in the region

CAGR

Historic data Forecast

Au

tom

oti

ve A

I Mar

ket

Size

[U

SD b

n]

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Automotive AI Software – Market Overview (2/2)

Source: Deloitte

Autonomous Vehicle Sales (2016-25)

• According to a report from Tractica, autonomous driving will be a leading impetus for AI spending in the automotive industry that will significantly boost the demand for AI

• Increasing government regulations for vehicle safety, growing adoption of ADAS technology by OEMs, and rising demand for enhanced user experience play a significant role in the growth of the automotive AI market

• Growing volume of ADAS systems and autonomous vehicle sales is expected to support positive growth in AI software market during 2016-25

− Most industry forecasts predict tripling of advanced driver assist system (ADAS) revenues during 2016-25

• Automotive manufacturers are forging the path to high and full automation based on previous experience regarding driver assistance systems

• Key applications encompass automotive human machine interaction (HMI) functionality (voice/speech recognition, driver face analytics, emotion recognition, and gesture recognition), maintenance and safety applications (predictive maintenance, automated on-road customer service, and vehicle network and data security), and personalized services in cars

ADAS System Sales Volume (2021-40)

8

13

18

26

0

5

10

15

20

25

30

2016 2019 2022 2025

Sale

s (

in U

SD

bn)

30

20

10

0

Annual Sales Volume (in Mn.)

1

33

2021 2025 2040

7

Automotive AI Software – Market Growth

Source: Micro News

• Over the next 10 years, the automotive AI software market is expected to receive growing investments from robotics market that will remain the main revenue generator for AI in automotive with the development of robot taxis and shuttles

• Further, infotainment computing is expected to showcase strong growth in revenues; however, embedded in-car computing is likely to witness considerable growth

Automotive AI Computing: 2018-28 Revenues Breakdown by Markets

2018USD 174mn

CAGR (2018-28)+49%

2028USD 13,800mn

USD 155mn

USD 18.5mn USD

0

USD 9,400mn

USD 3,700mn

USD 770mn

Robotics vehiclesInfotainmentADAS vehicles

Real-time applicationperformance management e.g.,

predictive/preventive load balancing

8

Automotive AI – Use Cases by Function

Source: Capgemini Research Institute-AI in Automotive Executive Survey – December 2018-January 2019

Use cases where AI has potential in automotive industry across the value chain

Research & Development, and Engineering

Emission control/fuel efficiency improvement/power efficiency (for electric cars)

Predict outcome using simulations to reduce experimental R&D costs (e.g., component tasting, track testing)

Support augmented/mixed reality applications for plant and machinery maintenance

Predictive maintenance for equipment to reduce manufacturing downtime

Mobility Services

Quality control of supplies and finished goods e.g., automated visual inspection

Predict and forecast orders thereby reducing excess stock

Predict best possible additional products/services

offer for an existing customer

Provide recommendations of new and innovative products

and services

Marketing/Sales

Supply Chain

Machine/vehicular object detection/identification/avoid

ance

Smart sensors to detect any technical/medical emergency situations inside the car

Improve fleet management for B2B services

Autonomous robots delivering parcels using mobile lockers

Cybersecurity (e.g., proactive threat detection and response)

Information Technology

9

2.


Geographic Landscape

10

Automotive AI Software – Potential Countries


• The US leads the way in terms of progress, with 25% of companies implementing AI at scale and 25% at a selective level

− Such growth in the AI adoption will support significant rise in the level of automotive AI software integration

• The UK and Germany follow America’s lead, but China has also nearly doubled its share of scaled AI implementations (from 5% to 9%). This increase in scaled AI implementation in China is the most-pronounced growth trend across all countries

− Strong growth in the automotive AI market in other major countries highlights the significance of AI software worldwide

US, UK, and German Automotive Companies Lead in Implementing AI at Scale

25%14% 12% 10% 9% 8% 5% 2%

25%39%

25% 35% 31%18% 21%

14%

36% 34%

30%

42%

17%

26% 20%

17%

13% 12%

32%

13%

44% 49%54%

67%

0%

20%

40%

60%

80%

100%

120%

US UK Germany Sweden China France Italy India

Imp

lem

enta

tio

n (

in %

)

State of AI Implementation at Automotive Organization – By Country (2018)

Scaled Implementation Selective Implementation Pilots and POCs Not Implementing any AI Initiative

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Automotive AI Software – Geographic Concentration


The US leads the scaled AI software development, followed by the UK and major European countries including Germany, Sweden, France, and Italy.

Scaled Development

25%

14%

8%

10%

9%

1%

US

UK

France

Sweden

Germany

12%Italy

5% India

China

12

Automotive AI – Investments in AI-Led Startups


• German, Japanese and US based automotive companies are making the significant investments in advanced technologies, while AI startups in the US, Netherlands and Singapore are attracting the greatest interest

• China-based automotive AI startups companies and private equity/venture capital firms are also attracting huge amounts of capital from technology

Automotive companies from Germany, Japan and US lead in investing in AI-led startups

16

25

41

152

205

270

416

2,285

3,287

4,028

0 1,000 2,000 3,000 4,000 5,000

France

UK

India

China

Canada

S.Korea

Ireland

US

Japan

Germany

Top Acquirer Countries by Amount Invested 2014-18 (USD mn)

7

10

43

105

202

373

983

1,250

2,795

5,400

0 1,000 2,000 3,000 4,000 5,000 6,000

New Zealand

UK

Greece

Belgium

China

Israel

Japan

Singapore

Netherlands

US

Top Target Countries by Amount Invested 2014-18 (USD mn)

13

3.


Technology Overview

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Automotive AI Software – Technology Overview (1/2)

Source: Ignite Outsourcing

Driving features

▪ AI lends itself perfectly to powering advanced safety features for connected vehicles

The application of artificial intelligence platforms ensure data is available when needed

▪ AI speeds up the process of filing claims when accidents do occur

Robots are driving optimization and the rethinking of processes and production in innovative new ways

▪ AI software detects driver behavior in four key areas: driver identification, recognition, monitoring and infotainment control

Cloud Services

Automotive Insurance Car Manufacturing

Driver Monitoring

Automotive AI – Application Areas

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Automotive AI Software – Technology Overview (2/2)

Source: Waymo, Bloomberg, Biz Journals, Owler, Tech Crunch

Automotive AI Software – Key Applications

Driver assist Driverless vehicles Autonomous vehicles Connected vehicles Manufacturing Quality control

Supply chain Engineering Safety Virtual desktop infrastructure

Vehicle insurance Virtual testing and simulation

Vehicle localization and mapping

Automated on-road customer service

Face analytics and emotion recognition

Gesture recognition Predictive maintenance

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Automotive AI Software – Key Applications (1/3)


• AI lends itself to powering advanced safety features for connected vehicles that helps customers, manufacturers, and regulators in getting comfortable with AI as the driver

• AI can identify dangerous situations by monitoring dozens of sensors to alert the driver, or take emergency control of the vehicle in order to avoid an accident

• Various other features such as emergency braking, cross traffic detectors, blind spot monitoring, and driver-assist steering can help avoid accidents, and save lives in the processDriver Assist

• A number of automakers and automotive startups are working on AI applications for the automotive industry

• For instance, Google and Tesla are leading in the development of truly driverless cars

− Google’s Waymo forays into the autonomous vehicle market and focusing on their long term plan to achieve market dominance

− Tesla has succeeded in becoming a household name in the electric car market and the company is focusing on replicating similar practice for self-driving vehiclesDriverless Automobiles

AI Driving Features

• Unlike conventional vehicles, connected vehicles can do more than alert us with check engine lights, oil lights, and low-battery indicators

• AI monitors hundreds of sensors and is able to detect problems before they affect vehicle operation

− In October of 2018, Volkswagen and Microsoft announced a partnership, designed to transform the auto company into a digital service-driven business

− By tapping the power of Azure IoT, PowerBI, and Skype, Volkswagen plans to offer customer experience, telematics, and productivity solutions for the automotive market

Predictive Maintenance

AI Cloud Services

• AI-based cloud platforms offer the ideal solution to accurately target a captive audience of qualified prospects. In the advertising field, it doesn’t get any better than that

• With AI’s connection to big data, vehicle infotainment systems can be used to suggest products and services to drivers based on a wealth of raw data

• AI has the power to know the driver’s needs and wants, and to know when they are in close proximity to businesses that can serve themIndividualized Marketing

17



• AI levels the playing field for drivers by creating risk profiles based on drivers’ individual risk factors found in big data

• Rather than relying on driving history to set premiums, AI looks a myriad of less-obvious factors that can predict how safe a driver is likely to be

• AI can find issues in drivers that might not have affected the driver in the past but potentially impact in future

AI-Powered Driver Risk Assessment

• Auto claim app enables drivers to perform their own auto damage assessment for their insurance companies

• While a human insurance adjuster still must sign off on each claim, AI quickly informs the driver how to have their vehicle repaired, and what will be covered by insuranceDIY Auto Claims

AI Automotive Insurance

• AI is changing what a vehicle can do and how vehicles are built through Assembly line smart robots• Smart robots work with their human counterparts, rather than just along side of them• Collaborative robots use AI to sense what human workers are doing, and they adjust their motions to avoid

injuring their non-metallic co-workers• AI enables these autonomous delivery vehicles to identify objects in their paths, and to adjust their route

accordingly• AI empowers painting and welding robots to identify defects or irregularities in materials and to adjust

accordingly, or to alert quality control personnelVehicle Manufacturing

AI in Car Manufacturing

18



• AI enables vehicles to do more than watch the road and detects whether or not the driver is in the vehicle

• AI-based software uses deep learning to offer an absolute plethora of in-car automotive solutions

Driver Identification

Driver Monitoring

• The software can detect which driver is operating the vehicle using advanced AI facial recognition algorithms and accordingly adjust the seat, mirrors, and temperature to suit the individual preferences

• The software offers both stand-alone proprietary software, and hardware and software bundles

Driver Recognition

• AI software observes eye gaze, eye openness, and head position to detect distracted driving and alert the driver to keep their eyes on the road

• The software also detects drowsiness by eye openness and head position, allowing the system to wake the driver up if necessary

• Upper body detection detects the driver’s posture. In case of a crash, air bags can be deployed in a manner that will reduce injury based on how the driver is sittingDriver Monitoring

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4.


Paradigm Shift

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Automotive AI Software – Growing Transformation

Source: Tractica, CIO

From Hardware to Software Focus: Average automotive product cycle time

• Earlier, the distribution of a car's added value between hardware and electrics, electronics (E/E) and software was approximately 95% compared to 5% respectively

• However, with the growing adoption of advanced in-vehicle AI-based features, the distribution is closer to 50% hardware and 50% E/E and software

• Along with the technological progression of the semiconductor industry, development of E/E as well as software has increased exponentially over the past two decades. At the same time, the average product cycle time has halved over the same period

21

Automotive AI Software – Growing Transformation

Source: Tractica, CIO

From Hardware to Software Focus: Average automotive product cycle time

• Earlier, the distribution of a car's added value between hardware and electrics, electronics (E/E) and software was approximately 95% compared to 5% respectively

• However, with the growing adoption of advanced in-vehicle AI-based features, the distribution is closer to 50% hardware and 50% E/E and software

• Along with the technological progression of the semiconductor industry, development of E/E as well as software has increased exponentially over the past two decades. At the same time, the average product cycle time has halved over the same period

ABS Electronicinjection

On-boardDiagnostics

HybridCars

Connectedcars

Autonomouscars

22

5.


Opportunities and Threats

23

Automotive AI Software – Opportunities (1/2)


Driverless Cars

• AI is advancing at a fast pace in the automotive industry in line with growing development by tech firms that can help in the installation of self-sufficient automobiles

• Tech giants such as Google and Tesla are allocating significant spending on their R&D to come up with better technology and transform the dynamics of autonomous cars with more advanced features

Cloud Computing

• Cloud computing offers significant growth opportunities for staging and deploying AI technology in the automotive field including analytics, big data access and centralized connectivity

• GM and IBM are working on cloud-based AI platforms to make drivers’ life easier by identifying ways to find the desired objects/places, and recognizing the nearby places

The Internet of Things

• IoT in association with electrical components and software will allow automotive manufacturers to collaborate with software development teams and other firms in same sector

• The combination of AI with IoT devices will help manufacturers in updating vehicles with additional features including predictive maintenance, repair scheduling, identification of performance issues, using smart sensors to identify medical emergencies, and automatic toll collection

Machine Learning

• OEMs and various tier 1 and tier 2 suppliers are working on advancement of their product portfolio by integrating machine learning with the interconnected devices and machines to allow machines to act in a similar way the humans do

• For instance, Toyota has moved ahead by bringing together big data, machine learning and AI to generate highly sensitive autonomous systems that support in the movement for those to help an ageing population mobile and ensure they can still use their cars

24

Automotive AI Software – Opportunities (2/2)


Deep Learning

• Advanced technologies such as deep learning is gaining stronghold in automotive industry that helps split down tasks to make it easier to manage, copying the actions in the neuron layers of human brain, and advanced driving assistance systems and autonomous driving

• For instance, Nvidia and Bosch’s entered into partnership to work together for enhancing the quality and characteristics of autonomous vehicles

Infotainment System

• Infotainment systems provide significant opportunities in the areas including eye tracking, speech recognition, gesture recognition, monitoring driving, and database of natural languages

• The better quality hardware and software solutions compatible with AI are gaining importance on the face of growing demand for developing enhanced in-vehicle infotainment systems

• Market participants are finding scalable opportunities for developing infotainment human-machine interfaces connected to vehicles to monitor and operate according to the algorithms collected from cloud-based neural networks

Cognitive Capabilities

• Automotive industry offers opportunities for small cars and commercial vehicles to develop cognitive capabilities such as pattern identification, natural language interpretation and the ability to build knowledge

• For instance, BMW partnered with IBM to combine cognitive capabilities to its cars and help vehicles interact with each other through Big Blue’s Watson AI technology

• Implementation of AI-based functionalities is limited to some key functions since an expert system or rule-based approach is not optimal for all problems, and considerable knowledge is required to apply in any of the systems

• Currently, the industry lacks skilled resources to execute the most-critical tasks that is expected hinder the growth in the automotive AI implementation

• Automotive industry is facing limited integration of AI-based applications due to the associated higher costs of advanced hardware components since these components require significant costs and time to build, rebuild, and repair

• However, robotic repairs can occur to reduce time that may also eliminate the requirement of humans to fix it; however, transformation of robotic that'll cost more money and resources

• Rapid advances in AI is expected to automate several functions in the automotive manufacturing and operations that will lead to massive structural unemployment

• Significant structural unemployment is expected to discourage the fast-pace implementation of AI hardware and software implementation

• Such slow-down in the implementation of AI across various automotive applications is expected to negatively impact the adoption of automotive AI software

• The automotive industry is facing a major challenge due to digitalization driven by Big Data that is growing sizably from multiple connected sources and making it increasingly difficult to analyze and protect the connected car against cyber threats

• Such potential risk could be mitigated by leveraging AI and ML technologies for behavioral analysis of the data

25

Automotive AI Software – Challenges (1/2)


Concerns over cyber securityMassive structural

unemploymentTechnology limitation Increased cost

26

Automotive AI Software – Challenges (2/2)

Source: The National Academies of Science Engineering Medicine, Medium, Bloomberg

• Currently, managing the enormous amounts of data generated by these vehicles is a struggle

• Individual vehicles can generate terabytes of data every day. It can take days or even weeks for critical information needed by developers and data scientists to be identified and made available

• Artificial Intelligence (AI) has emerged as new ways to manage and exploit this information glut to enable vehicle owners enjoy a more contemplative life

• AI applications enable faster processing of large amounts of data and contribute directly to data analysis

• Creating maps for self-driving cars requires specialized code that are used for pre-mapping, which allows the car to perceive its environment

• These maps are very comprehensive that log every curb height, stop sign location, fire hydrant and lane marking within a centimeter so the car knows the area where it is driving

• Waymo, Uber, Drive.ai and almost every other driverless car company that relies on these maps are limited to very specific areas that have been mapped in such a detailed way since accuracy is a concern when it comes to pre-mapping

• The driverless car of the future can’t handle highly dynamic weather conditions

• For instance, snow alters the vehicle’s traction and also changes how the vehicle’s cameras and sensors perceive the street

• The major hurdle to the next phase of driverless technology might not come from algorithms and artificial intelligence—it might be due to fog and rain

Difficult to maintain the excellence during bad weather condition

Management of huge data sets

Creating maps for self driving cars

27

6.


Market Participants

28

Automotive AI Software – Cooperation and Partnerships

Source: Deloitte

Daimler

FCA

Continental

Aptiv

Magna

Intel

HERE

Mobileye

DriveNowBMW

Bosch

Car2Go

mytaxi

Uber

HERE

NVIDIA

Aurora

Samsung

Harman Baidu Velodyne Lyft

Saips

Argo AI

Civil Maps

Mobility Provider Technology Firms Automotive OEMs & Suppliers

29

Automotive AI Software – Cooperation and Partnerships

Source: Deloitte

JaguarLandrover

FCA

Intel

LyftAutoliv

Geely

Uber

Microsoft

NVIDIA

Cruise

Telenav

Honda Lyft Audi MOIA

NVIDIA

HERE

Aurora

Mobility Provider Technology Firms Automotive OEMs & Suppliers

Zenuity

Mobileye

Ford

Delphi

30

Automotive AI Software – The Expected Revolution

Source: Micro News

• Intel Mobileye and NVIDIA are major players in the auto AI software market worldwide. These companies offer extremely powerful software and software stacks dedicated to processing AI and computing vision algorithms and adapted to the automotive ecosystem

• However, other leading players such as Renesas and Xilinx are keeping pace with the major players due to a slower cycle in the automotive

Automotive AI: Value Chain and Interactions

OEMs Service provider

Tier 1s

AI Software

Hardware

Sensors

Data treatment & Analysis

31

7.


M&A and Private Placements

32

Automotive AI Software – M&A Transactions (1/3)

Source: MergerMarket

Date Acquiror Target Target business descriptionEV (100%)

USDm

01-Jul-2019 Mesh HoldingsSentiance(65.05% Stake)

Belgium-based business operating in the areas of artificial intelligence

na

25-Jun-2019 Apple Drive.ai US-based company that uses AI software for autonomous vehicles na

05-Jun-2019Sumitomo Corporation; Align Capital Partners; Perot Jain; Tom Meredith; Steve Adler

HypergiantUS-based provider of machine learning and artificial intelligence solutions for brands

na

28/05/2019 LinkedIn Corporation DrawbridgeUS-based technology company uses large-scale AI and machine learning technology to build democratized solutions for identity

na

12-Apr-2019

SAIC Motor Corporation Limited; SK (China) Holding; Beijing Northern Light Investment Consultant (Beijing); FengHe Fund Management; Suzhou Delta Capital Investment Management; China Merchants Venture Capital; Junhai Chuangxin (Beijing) Consulting Management

Black Sesame Technolongies (Shanghai)

China-based company engaged in core algorithms and computing platforms for artificial intelligence and machine vision"

na

11-Apr-2019 Google; Donan Engineering; State Auto Labs FlyreelUS-based company providing artificial intelligence-based insurance solutions

na

11-Apr-2019CAC Holdings; Aptiv; Trend Forward Capital Management; Motley Fool Ventures

AffectivaUS-based company engaged in providing human perception AI software

na

12-Mar-2019 Sonasoft HotifyIndia-based company specialized in artificial intelligence software development

na

11-Mar-2019 Vitruvian PartnersDental Monitoring

France-based company that provides Artificial Intelligence solutions in dentistry and orthodontics

na

33




USDm

27-Feb-2019

SK Hynix; CLSA; China Oceanwide Holdings Group; SK Holdings; Hillhouse Capital Management; Morningside Venture Capital; CMBC Capital Holdings; Linear Venture; V Fund; Oceanpine Capital

Beijing Horizon Robotics Technology Development

China-based company engaged in R&D of artificial intelligence chip and algorithm software and application in smart driving, city and retails

na

19/02/2019

WI Harper Group; Gobi Partners; EnspireCapital; UOB Venture Management; Tembusu Partners; Raffles Venture Partners; Rakuten Ventures; Sonae IM; 31 Ventures; Pepri Ventures; SPH Ventures; Impossible Ventures

ViSenzeSingapore-based artificial intelligence company providing visual search and image recognition solutions for e-commerce, m-commerce and online advertising businesses.

na

06/02/2019 New Relic SignifAIUS-based company providing an event intelligence platform and specializing in artificial intelligence (AI) and machine learning (ML).

37

30/10/2018Kennet Partners Limited; Toba Capital; Providence Strategic Growth Capital Partners; Savano Capital Partners

ConversicaUS-based provider of artificial intelligence-based sales conversion management software solutions

na

17/10/2018Scale Venture Partners; Emerge; ManivMobility; Airbus Ventures; Global IoT Technology Ventures

CognataIsrael-based company that develops automotive simulation platform using artificial intelligence (AI) to create a virtual environment for testing cars without drivers

na

05/09/2018Daimler; Temasek Holdings; Denso Corporation; GGV Capital; SPARX Group; Wavemaker Partners; Singapore Innovate

ThinCI US-based AI hardware company developing computing platforms na

29/06/2018 A group of investors led by Daikin Industries ABEJAJapan-based company engaged in developing and providing artificial intelligence software for retailers and manufacturers.

na

34




USDm

16/05/2018Walden International Investment Group; Great Eastern Holdings Limited; Peter Lim Eng Hock; WPGrowth Ventures

uCare.ioSingapore-based company that develops artificial intelligence platform

na

14/02/2018 Tibet Yanshan Investment ManagementNullmax (40% Stake)

China-based autonomous vehicles AI software system developer na

16/01/2018

Sequoia Capital; Legend Capital Management; Yonghua Capital; K2VC; Kinzon Capital; China Growth Capital; Beijing Zhenge Tiancheng Investment Management

Aibee (Beijing) Intelligent Technology

China based artificial intelligence (AI) solutions provider na

24/07/2017 GENUI; Bernd-Michael Rumpf AcrolinxGermany-based provider of AI software for enterprise content creation

60

27/06/2017GGV Capital; New Enterprise Associates; Beijing Northern Light Investment Consultant (Beijing)

Drive.ai US-based company that uses AI software for autonomous vehicles na

28/03/2017Beijing Northern Light Investment Consultant (Beijing); InnoSpring Seed Fund; Oriza Ventures

Drive.ai US-based company that uses AI software for autonomous vehicles na

05/01/2017Denso Corporation; Sumitomo Corporation of Americas

ActiveScalerUS-based company involved in developing applications related to artificial intelligence

na

35

Automotive AI Software – Private Placements (1/3)

Source: CapitalIQ

Date Investor(s) Target/Issuer Business DescriptionRaisedUSDm

22-Jul-2019 Naya Ventures Viviota Viviota Inc develops a software for vehicle and device manufacturers. Its platform manages and automates engineering data and analysis. Viviota Inc was incorporated in 2016 and is based in Austin, Texas.

-

19-Jul-2019 - AutoX AutoX, Inc. develops software solutions for self-driving cars. The company provides self-driving capability using a camera-based system. The company was founded in 2016 and is based in San Jose, California.

58.00

17-Jul-2019 SAIF Partners; Hina Capital Partners; Sigma Square Capital

Qingdao Huituo Intelligent Machine

Qingdao Huituo Intelligent Machine Co., Ltd. develops cloud-based software applications for automatic driving technology and industrial applications. Qingdao was founded in 2014 and is based in Qingdao, China.

14.55

03-Jul-2019 Investor Consortium Tier IV Tier IV, Inc. develops open-source software solutions for autonomous driving. It develops Autoware software for urban driverless cars. The company was founded in 2015 and is based in Nagoya, Japan.

100.00

26-Jun-2019 Yinxinggu Capital e-Quality Information Technology (Shanghai)

e-Quality Information Technology (Shanghai) Co., Ltd. designs and develops software solutions for automotive manufacturing industry. e-Quality was founded in 2010 and is based in Shanghai, China.

1.45

19-Jun-2019 Global Brain; A Medium; Synapse Partners; Amplifier

Humanising Autonomy Humanising Autonomy Limited designs and develops software for self-driving vehicles. Humanising Autonomy Limited was founded in 2017 and is headquartered in London, United Kingdom.

5.30

14-Jun-2019 Nanjing Yueboo Power System

Beijing New Energy Vehicle Technology Innovation Center

Beijing New Energy Vehicle Technology Innovation Center Co., Ltd. engages in R&D of open-source vehicle platform for test and verification of new energy vehicles. The company was incorporated in 2017 and is headquartered in Beijing, China.

72.20

05-May-2019 - TruVideo TruVideo, Inc. develops a video and text platform for auto repair shops. The company was founded in 2015 and is headquartered in Wellesley, Massachusetts.

1.60

28-May-2019 SSM Partners Kukui Kukui Corporation develops marketing software solutions for the automotive repair industry. The company was incorporated in 2011 and is based in San Jose, California.

27.00

21-May-2019 Shell Ventures; PICO Partners

Ravin AI Ravin AI Limited develops software for fleet tracking, insurance claim processing, and used car condition report generation. Ravin AI Limited was founded in 2018 and is based in London, United Kingdom.

4.00

36


Source: CapitalIQ


16-May-2019 Beijing Yuanlong Yato Culture Dissemination

Wuhan Yibaotong Network Technology

Wuhan Yibaotong Network Technology Co., Ltd. designs and develops software as a service (SaaS) platform for financial industry. The company is based in Wuhan, China. 1.45

10-Apr-2019 Dongfeng Motor Group AutoX AutoX, Inc. develops software solutions for self-driving cars. The company was founded in 2016 and is based in San Jose, California. 20.00

01-Apr-2019 TransLink Capital UBiAi Technology UBiAi Technology Ltd. develops SaaS (Software as a Service) based automotive telematics data application solutions. The company was founded in 2016 and is based in Beijing, China.

2.00

27-Mar-2019 Horizons Ventures; American Family Ventures

Teraki Teraki GmbH develops software solutions for scaling of Insurance, predictive maintenance, and autonomous driving applications by enabling access to more qualitative data. The company is based in Berlin, Germany.

2.30

05-Mar-2019 Social Starts; Notley Ventures

Elephant Labs Elephant Labs LLC develops AI-enabled virtual chat engine built for the insurance and automotive industries. The company was founded in 2016 and is based in Austin, Texas.

0.62

01-Mar-2019 Investor Consortium Fabu Technology Fabu Technology Limited provides software and hardware platform solutions. The company specializes in machine learning, computer vision, robotics, automobile engineering, and large-scale integrated circuit design. The company was founded in 2017 and is based in Hangzhou, China.

20.00

15-Feb-2019 General Motors Ventures

Wejo wejo Limited develops cloud based data exchange platform, which helps in sharing and accessing connected car data. wejo Limited was incorporated in 2013 and is based in Tattenhall, United Kingdom.

34.95

30-Jan-2019 Passion Capital UK Vehicle UK Vehicle Ltd. trading as Cazana, develops application that offers vehicle data, which helps users to find, buy, and own cars. UK Vehicle Ltd. was founded in 2015 and is based in London, UK.

2.29

07-Jan-2019 ABC International Holdings; SenseTimegroup

JingChi JingChi Inc. develops software and systems for fully autonomous vehicles. JingChi Inc. was founded in 2017 and is based in Sunnyvale, California. 20.00

17-Dec-2018 na TruDecision TruDecision Inc. develops cloud-based data analytics platform. The company provides fintech solutions for automotive dealers and lenders. TruDecision Inc. was founded in 2017 and is based in Grapevine, Texas.

0.51

37


Source: CapitalIQ


19-Nov-2018 DIP Capital Wejo wejo Limited develops cloud based data exchange platform, which helps in sharing and accessing connected car data. wejo Limited was incorporated in 2013 and is based in Tattenhall, United Kingdom.

1.93

25-Oct-2018 Investor Consortium Data Enlighten (Beijing) Data Enlighten (Beijing) Co., Ltd. develops automotive aftermarket data tools and software. Data Enlighten (Beijing) Co., Ltd. is based in Beijing, China.

21.59

08-Oct-2018 Kakao Mobility EnGIS Technologies EnGIS Technologies, Inc., a software development company, provides software solutions to the automotive and consumer electronics industries worldwide. EnGIS Technologies, Inc. was founded in 1998 and is based in Seoul, South Korea.

1.33

04-Oct-2018 BlueRun Ventures EnGIS Technologies EnGIS Technologies, Inc., a software development company, provides software solutions to the automotive and consumer electronics industries worldwide. EnGIS Technologies, Inc. was founded in 1998 and is based in Seoul, South Korea.

11.71

29-Sept-2018 Nanjing Seraph Investment Management; DLH Capital

Nanjing Mengqi Chepin Network Technology

Nanjing Mengqi Chepin Network Technology Co., Ltd. is a company that creates automobile after sales service platform. It is based in China.

-

27-Sept-2018 Investor Consortium Teraki GmbH Teraki GmbH develops software solutions for scaling of Insurance, predictive maintenance, and autonomous driving applications by enabling access to more qualitative data. The company is based in Berlin, Germany.

3.00

04-Sept-2018 Investor Consortium Ride Kleen Ride Kleen, INC offers car cleaning services through RideKleen, which i s a mobile application which simplifies car wash procedures for customers. The company was founded in 2013 and is based in Huntingdon Valley, Pennsylvania.

na

29-Aug-2018 Molex; HELLA Ventures Excelfore Excelfore Corporation designs and develops a cloud platform and connectivity applications for transportation industry. The company was founded in 2008 and is based in Fremont, California.

4.00

24-Aug-2018 Home Boutique International

ECCO Auto World ECCO Auto World Corporation focuses on developing an automobile mobile application in Malaysia. The company was founded in 2016 and is based in Tsim Sha Tsui, Hong Kong.

0.10

38

8.


Company Profiles

39

ADASENS Automotive GmbH

Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch

Company Snapshot Business OverviewADASENS Automotive GmbH, founded in 2006, is a provider of ADAS and sensing solutions for camera-based systems for passenger cars and commercial vehicles. The company offers its services in various business cases including consulting, licensing, and project-based. Since 2016, the company has been operating as a subsidiary of Ficosa.

Organization Structure

Allen ChangMarketing Director

Jörn KlingemannCEO

SpecialtiesMachine Vision – Forward Looking Cameras

Soil detection, online calibration, traffic sign recognition, vehicle recognition, high beam assist, lane recognition, stereo obstacle detection

Machine Vision – Surround View Camera

Structure from motion/motion stereo, backover protection, crossing traffic, rear end collision

Type

Mobility solution provider

Headquarters

Lindau, Germany

Number of Employees

100

Investors

N/A

Key Partners

nvidia, PSA, City of Boston, Lyft, Grab, Land Transport Authority, Velodyne

Application/Markets

Automotive parking camera, Trafficsign recognition software

Key Products

Autonomous driving solutions

Type of Technology

Open platform

Net Sales

USD 3.00mn

Total Capital Raised

USD 39.80mn

40

AIMotive Kft

Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn

Company Snapshot Business OverviewAIMotive Kft, founded in 2015, formerly known as AdasWorks, is a spin-off from Kishonti. The company develops AI software to enable self-driving cars. AIMotive offers aiDrive suite that includes four software engines. Location engine, recognition engine, motion engine, and control engine. The company has offices in Mountain View, California; and Yokohama, Japan.


Krisztina FörhéczCFO

David KissCTO

Laszlo KishontiFounder and CEO

Péter Kovács

Chief Product Officer

Lajos Németh

COO

Gergely Juhász

SVP - aiSim

Type

Technology development

Headquarters

Budapest, Hungary

Number of Employees

~220

Investors

Tim Draper, B Capital Group, Prime Ventures, Cisco Investments, Samsung CatalystKey PartnersFEV, NVIDIA, PSA Groupe, QuantaComputers, Ryosan, Ryoyo, SAIC, Volvo,Samsung, Wind, Wipro, Kyocera

Application/Markets

Autonomous mobility

Key Products

Modular software, simulation driving

Type of Technology

Self-driving technology

Estimated Revenues

N/A


USD 48.50mn

Practice AreasAuto, Internet of Things, Geo - Europe Tech, Artificial Intelligence, Enterprise Applications, Enterprise Infrastructure and Autonomous Vehicles

Márton FehérSVP - aiWare

Alexandre Engelstein

SVP - Europe

41

Analog Devices, Inc.


Company Snapshot Business OverviewAnalog Devices, Inc., founded in 1965, is a provider of design, manufacture, and marketing of high performance analog, mixed-signal, and digital signal processing (DSP) ICs. The company offers solutions for autonomous driving, cabin electronics, MEMS safety and security, EV & HEV powertrain, and automotive power management.


John HassettSVP-Global Operations and Technology

Martin CotterSVP-Worldwide Sales and Digital Marketing

Vincent RochePresident and CEO

Steve PietkiewiczSVP-Power Product

Greg HendersonSVP-Automotive, Communications, and Aerospace and Defense

Dan LeibholzCTO

SpecialtiesSemiconductors, analog, mixed-signal and signal processing, and digital signal processing

Type

Electrical/Electronic Manufacturing

Headquarters

Norwood, Massachusetts, US

Number of Employees

15,800

Investors

N/A

Key Partners

Alliances, PartnerZone, RadioVerse Partners

Application/Markets

Data converters, amplifiers, powerRF and microwave, MEMS, DSP

Key Products


Type of Technology

Open platform

Net Sales

USD 0.96bn


N/A

42

Apex.AI, Inc


Company Snapshot Business OverviewApex.AI, Inc, founded in 2007, is a developer of operating system for autonomous vehicles. The Company is focused on developing AI-enabled software stacks for self-driving vehicles. Its product offering includes Apex.OS and Apex.Autonomy. Apex.OS is an open-source framework for autonomous systems that enables software developers to write safe & secure applications based on Robot Operating System (ROS) 2 APIs. Apex.Autonomy is an autonomous driving software that combines 3D perception, localization, planning, and control algorithms.


Sanjay KrishnanVP

Dejan PangercicCo-Founder and CTO

Jan BeckerCo-Founder and CEO

Andreas PasternakTechnical Team Lead -Apex.OS

Martin RudigierVP - Finance

Type

Software development

Headquarters

Palo Alto, California, US

Number of Employees

23

Investors

Lightspeed Venture, AirbusVentures, Canaan Partners, Toyota AIVentures

Key Partners

N/A

Application/Markets

Passenger cars, robo-taxis, automatedtucking, logistics, agriculture,construction, mining

Key Products

SDK, algorithm software

Type of Technology


Estimated Revenues

N/A


USD 31.00mn

Practice AreasAuto, Geo - US Tech, Artificial Intelligence, Enterprise Applications, Internet of Things, Autonomous Vehicles and Enterprise Infrastructure

Christopher HoLead - Apex.Autonomy

Products

Apex.OS

Certified software framework and SDK for autonomous mobility systems for all safety-critical mobility applications

Apex.Autonomy

Autonomous driving software that combines 3D perception, localization, planning and control algorithms

43

Aurora Innovation, Inc.


Company Snapshot Business OverviewAurora Innovation, Inc., founded in 2016, is a developer of autonomous car technology designed to create self driving cars. Aurora Innovation uses advanced machine learning software and hardware to power self driving cars by leveraging a combination of camera, radar and LiDAR, enabling clients to make roads safer and improve access to mobility.

Type


Headquarters


Number of Employees

250+

Investors

Amazon, Hyundai, Shell Ventures, Greylock Partners, Sequoia Capital, Index Ventures (UK)

Key Partners

Hyundai, Volkswagen and Byton

Application/Markets

Safety for self driving cars

Key Products

Automotive software and hardware

Type of Technology


Estimated Revenues

N/A


USD 690.00mn

SpecialtiesSelf-driving, engineering, self-driving cars, and automotive

Practice AreasAuto, Geo - US Tech, Artificial Intelligence, Internet of Things, Autonomous Vehicles Companies


Drew BagnellCo-Founder and CTO

Sterling AndersonCo-Founder and Chief Product Officer

Chris Urmson Co-Founder and CEO

44

AutoX Technologies, Inc.


Company Snapshot Business OverviewAutoX Technologies, Inc., founded in 2016, is a developer of an autonomous driving technology designed to offer self-driving vehicles. It has developed a full-stack autonomous driving technology combining real-time camera vision, sensors, and AI software to provide autonomous grocery delivery services. The company has completed a Series A3 funding round in the tens of millions, led by Chinese auto maker Dongfeng as it shifts its focus to promote the use of self-driving technologies in the Chinese commercial vehicle sector

Type


Headquarters

San Jose, California, US

Number of Employees

100+

Investors

Dongfeng Automobile, MediaTek, SAIC Capital, ZhenFund, Plug and Play Tech Center

Key Partners

GrubMarket

Application/Markets

Robotaxi, robo delivery

Key Products

xUrban

Type of Technology

Level 4 autonomous drivingsolutions

Estimated Revenues

N/A


USD 87.00mn

Practice AreasEnterprise Infrastructure, Artificial Intelligence, Geo - Europe Tech, Geo - Germany Tech, Geo - DACH Tech, Internet of Things, Auto


Jan Wei PanDirector - R&D

Jewel Zhou LiCOO

Jianxiong XiaoFounder and CEO

Emeterio NastorAutonomous Vehicle Operations Specialist and Fleet Operations Manager

Hugo FozzatiDirector - Business and Operations

45

Changchun Yihang Intelligent Technology Co., Ltd.


Company Snapshot Business OverviewChangchun Yinang Intelligent Technology Co., Ltd., founded in 2017, is a developer of full-stack autopilot systems. Yihang AI is focused on developing full-stack autopilot systems for automobiles. The company aims at the mass production of self-driving systems for automakers. It has developed an embedded full driverless technology combining proprietary software algorithms & hardware. The company has also developed a real-time pixel-level image segmentation technology based on deep learning algorithms. Yihang Intelligent applies automatic driving technology to make travel safer, more convenient and more environmentally friendly

Type


Headquarters

Chaoyang, Beijing Shi, China

Number of Employees

N/A

Investors

gac-capital.com, Source Code Capital, CICC ALPHA, Matrix Partners China, CICC, Zenity Asset Management, CHJ Automotive, Future CapitalKey Partners

N/A

Application/Markets

Automotive software

Key Products

Full-Stack Autopilot Systems

Type of Technology


Estimated Revenues

N/A


USD 47.18mn

Practice AreasAuto, Artificial Intelligence, Geo - China Tech, Internet of Things, Autonomous Vehicles


Carlo LeeDeep Learning Expert

Jinling PigeonDoctor - Vehicle Engineering

Chen YuxingDoctor - Vehicle Engineering

46

CIDI Changsha Intelligent Driving Research Institute


Company Snapshot

Specialties

Business OverviewCIDI Changsha Intelligent Driving Research Institute, founded in 2017, is a developer of self-driving technology for commercial vehicles. The Company is engaged in research and development of intelligent driving core technology and innovative products for intercity logistics heavy trucks. It access to a 200+ acre urban autonomous vehicle testing ground and 135,000 sq. ft. research facility. The company specializes in sensor fusion, deep learning, planning and control algorithms, V2V/V2X networks and energy harvesting, technologies central to intelligent driving and safe autonomous logistics.


Ying LongVP

Ma WeiCEO

Li ZexiangFounder and Chairman

Xu HuSystem ArchitectureDirector

Huang YingjunVP - Engineering

Type


Headquarters

Changsha, China

Number of Employees

220

Investors

Legend Star, Baidu Ventures,EBZY Capital

Key Partners

N/A

Application/Markets

Commercial vehicles, cars

Key Products

Intelligent driving & road solution

Type of Technology

Intelligent driving technology

Estimated Revenues

N/A


USD 54.00mn

Autonomous driving, machine learning, artificial intelligence, self-driving cars, autonomous logistics, transportation and shipping

Practice AreasAuto, Artificial Intelligence, Geo - China Tech, Internet of Things and Autonomous Vehicles

Peng BingMarketing Director

47

Comma.Ai


Company Snapshot Business OverviewComma.Ai, founded in 2015, is a developer of a technology platform designed to offer self-driving software in vehicles. The company's technology platform specializes in providing machine learning services that can turn artificial intelligence into smart features like lane-keeping and emergency braking assistance

Type


Headquarters

San Diego, California, US

Number of Employees

50+

Investors

Andreessen Horowitz

Key Partners

N/A

Application/Markets

Commercial vehicles

Key Products

EON DevKit

Type of Technology


Estimated Revenues

N/A


USD 8.10mnPractice AreasAuto, Internet of Things, Artificial Intelligence, Geo - US Tech, Autonomous Vehicles, Enterprise Infrastructure

SpecialtiesSoftware design, advanced driver assistance solutions, autonomous vehicle solutions, and artificial intelligence


Riccardo BiasiniChief Systems Architect

George HotzPresident

48

Cyngn Inc.


Company Snapshot

Specialties

Business OverviewCyngn Inc., founded in 2013, is a developer of solutions for autonomous vehicles. The

Company is focused on developing software and hardware for self-driving cars. The

platform uses computer vision, sensor fusion, and machine learning to empower vehicles to

share, learn, and adjust to complex environments. Cyngn is working towards automatic

loaders, excavators and other construction vehicles.


Ain McKendrickSVP - Engineering

Bruce MacLeanChief Business Officer

Lior TalCEO

Emily McNamaraDirector - Global Operations

Type


Headquarters

Menlo Park, California, US

Number of Employees

43

Investors

Benchmark, Andreessen Horowitz, Redpoint, Qualcomm, Tencent and IndexVentures

Key Partners

N/A

Application/Markets

Geo-fencing

Key Products

Level 4 self-driving system

Type of Technology


Estimated Revenues

N/A


USD 110.00mn

Autonomous Vehicles, Deep Learning , Artificial Intelligence, Computer Vision, Computer Software, Industrial IoT, Robotics, Automotive, Edge Computing, Autonomous Machines, Enterprise, Cloud Services, Defense and Security

Practice AreasAuto, Internet of Things, Geo - US Tech, Artificial Intelligence, Autonomous Vehicles and Enterprise Infrastructure

49

drive.ai, Inc.


Company Snapshot

Specialties

Business Overviewdrive.ai, Inc., founded in 2015, is a developer of AI-based software for autonomous vehicles. The company provides hardware for self-driving, retrofitted self-driving kit, sensors and systems for controlling the car, communications systems, and an in-car interface. Drive.ai operates as a subsidiary of a Apple since June 2019. The company has partnered with City of Arlington, Texas to offer the nation’s first self-driving on-demand services.

Autonomous vehicles, deep learning, artificial intelligence, computer vision, computer software, robotics, and automotive


Bijit Halder CEO

Carol ReileyCo-Founder

Fred RosenzweigCo-Founder

William (Wei) SongLead, Perception

Brody HuvalCo-Founder

Type


Headquarters

Mountain View, California, US

Number of Employees

c.82

Investors

N/A

Key Partners

Lyft

Application/Markets

Application software

Key Products

Autonomous software

Type of Technology


Estimated Revenues

N/A


USD 80.00mn

50

Embark Trucks, Inc.


Company Snapshot Business OverviewEmbark Trucks, Inc., founded in 2016, is an AI startup company providing automated driving system solutions for OEM customers. Embark is working on deploying self-driving commercial trucks for the long haul stretches. The company claims to be developing the software that will serve as the truck’s central cortex, the intelligence that will drive the autonomous trucking sector. Embark’s team is made up of robotics specialists with deep expertise in artificial intelligence, machine learning, and real-world deployment of advanced technology.


Alex RodriguesCEO

Brandon MoakCo-Founder and CTO

Type


Headquarters

San Francisco, California, US

Number of Employees

50+

Investors

Future Capital

Key Partners

GZVCM, FutureCap, CHJ Automotive,Oriza Seed, DFKI, Apollo, Mobileye

Application/Markets

Transportation, trucking, railroad

Key Products

Navigation systems

Type of Technology


Estimated Revenues

N/A


USD 47.00mnPractice AreasAuto, Internet of Things, Geo - US Tech, Artificial Intelligence, Generic Company Lists, Autonomous Vehicles

Zeljko PopovicPerception Lead

51

Five AI Inc.


Company Snapshot Business OverviewFive AI Inc., founded in 2015, is a provider of an autonomous vehicle software designed to drive vehicles safely without the need for a human behind the wheel. The company's AI-powered system uses multiple sensors around the vehicle, providing a view of the environment to predict, plan and safely navigate all kinds of urban, European environments, enabling benefits such as increased safety, reduced congestion, shorter journey times and cleaner air.

Type


Headquarters

Bristol, UK

Number of Employees

121

Investors

Government of UK, Lakestar, Notion,Kindred capital, Amadeus capital partners

Key Partners

N/A

Application/Markets

Computer Software

Key Products

Automotive software

Type of Technology


Estimated Revenues

N/A


USD 37.70mn

SpecialtiesAutonomous vehicles, machine learning, artificial intelligence, safety critical software, computer vision, software engineering, self driving , C++, deep learning and robotics

Practice AreasEnterprise Infrastructure, Artificial Intelligence, Geo - Europe Tech, Enterprise Applications, Geo - UK & Ireland Tech, Internet of Things, Auto Autonomous Vehicles


Ben PetersVP - Product

Dr Ram Ramamoorthy

Co-Founder, President, and COO

Stan BolandCEO

52

German Auto Labs GAL GmbH


Company Snapshot Business OverviewGerman Auto Labs GAL GmbH, founded in 2016, offers automotive voice assistance platform, AVA, which is a full stack conversational assistance solution for the mobility sector. Additionally, the company provides retrofit hardware, Chris, a digital co-driver. The co-driver is used for bypassing automotive development cycles by leveraging deep domain knowledge of driver behavior through the biggest connected fleet on the road. The fully offline-capable AVA platform provides customizable white-label technology solutions for global verticals such as automotive, fleet management, insurance, and aftermarket consumer electronics.

Type


Headquarters

Berlin, Germany

Number of Employees

50+

Investors

Investitionsbank Berlin, Coparion, Target Partners, Atlantic Labs, Plug and Play Tech Center

Key Partners

N/A

Application/Markets

Commercial vehicles

Key Products

Automotive voice assistance platform

Type of Technology

Voice assistant, driver assistant,analytics

Estimated Revenues

N/A


USD 11.50mn

Practice AreasEnterprise Infrastructure, Artificial Intelligence, Geo - Europe Tech, Geo - Germany Tech, Geo - DACH Tech, Auto


Baver AcuCTO

Patrick WeissertCOO and Managing Director

Holger G. WeissCEO and Managing Director

SpecialtiesConnected Car, software, IoT, safety, automotive, mobility, navigation, and AI

53

Ghost Locomotion Inc.


Company Snapshot Business OverviewGhost Locomotion Inc., founded in 2017, is a self-driving technology development company for passenger cars. The company offers small cameras, a compact computer and a connection to the car controls to turn any car into a self-driving car. Its retrofit self-driving system leverages intelligent cameras, sensors, and AI-enabled algorithms to bring autonomy in vehicles.

Type


Headquarters


Number of Employees

13

Investors

Sutter Hill Ventures, Founders Fund,Khosla Ventures

Key Partners

N/A

Application/Markets

Passenger vehicles

Key Products

Automotive software

Type of Technology


Estimated Revenues

N/A


USD 47.00mn


Volkmar Uhlig Founder and CTO

John HayesFounder and CEO

Magnus HildingVP - Engineering

Practice AreasAuto, Internet of Things, Geo - US Tech, Artificial Intelligence and Autonomous Vehicles

Clare O'BrienHead - Product Marketing

Akash SagarHead - Machine Learning

Yulia MelikyanDirector - Operations

54

Green Hills Software, Inc.


Company Snapshot

Automotive Embedded System

Business OverviewGreen Hills Software, Inc., founded in 1982, is a developer of embedded safety and security software. The Company offers Real-Time Operating System (RTOS) solutions. Green Hills offers various automotive platforms including secure gateway, connected car, ADAS, instrument cluster powertrain and body, and infotainment. Additionally, the company offers Multivisor, a flexible embedded virtualization solution for hosting guest operating systems alongside real-time applications and middleware.


David ChandlerSVP, Sales

Jeffrey HazarianCEO

Dan O'DowdCEO

Jason IsaacsGeneral Counsel

Tim ReedVP, Advanced Products

Christopher SmithVP, Marketing

Development & Manufacture Operation

Internet

• Asset Management• Digital Signing• Certificate Authority• V2X/C2X

• Over-the-Air Updates• Remote Management

Secure Network

Deliver to Customer

Type

Software Development

Headquarters

Santa Barbara, California, the US

Number of Employees

c.252

Investors

Cadence (16%), Arcturus Capital

Key Partners

Toyota, Ford, DURA, Laird

Application/Markets

Security software

Key Products

Embedded Security Software

Type of Technology

Real-Time Operating System

Revenue (2018A)

USD 61.00mn


USD 117.00mn

55

Horizon Robotics


Company Snapshot Business OverviewHorizon Robotics, founded in 2015, provides integrated and open embedded Artificial Intelligence solutions of high performance, low power and low cost

It offers AI processors in four product series; Journey Processors (for identifying pedestrians, vehicles, lane lines, traffic signs & lights), Sunrise Processors (for face recognition, tracking and video structuring), Edge AI Cameras ( for deep learning vision perception technology) and Horizon Matrix (for smart city, smart retail, and other scenarios at low power consumption).

Type


Headquarters

Beijing, China

Number of Employees

100+

Investors

Intel Capital, SK China, SK Hynix, Morningside Venture Capital, Hillhouse Capital, V Fund, CMBC Capital

Key Partners

Intel, Belle International, Audi, Longfor Properties, SAIC Motor, BYD Auto

Application/Markets

Commercial vehicles, surveillance

Key Products

ADAS, AI chips

Type of Technology

Artificial Intelligence, Electronics,Robotics

Estimated Revenues

N/A


USD 700.00mn

Practice AreasAuto, Internet of Things, Artificial Intelligence, Geo - China Tech, Colleges, Companies, Semiconductors, Enterprise Infrastructure

SpecialtiesSmart driving, smart living, smart city, and artificial intelligence


Chang HuangCofounder, VP of Algorithm

Ming YangCo-founder & VP, Software

Qiang WuCTO

Annie Feiwen TaoCo-Founder & Vice President

Kai YuFounder and CEO

56

Ike Robotics


Company Snapshot Business OverviewIke Robotics, founded in 2018, is a developer of full-stack autonomous driving technology for trucks. Ike Robotics is focused on developing a full-stack autonomous driving technology for trucks. The company is primarily focused on the hardware part and has licensed autonomous vehicle software stack from Nuro, a self-driving startup focuses on delivery robots.


Nancy SunCo-Founder

Jur van den BergCo-Founder & CTO

Alden WoodrowCo-Founder & CEO

Type


Headquarters

San Francisco, California, US

Number of Employees

50+

Investors

Bain Capital Ventures, RedpointVentures, Fontinalis Partners,Basis Set Ventures, Neo Ventures

Key Partners

N/A

Application/Markets

Transportation, Trucking, Railroad

Key Products

Automotive software

Type of Technology


Estimated Revenues

N/A


USD 52.00mn

SpecialtiesRobotics, Deep Learning, Computer Vision, Trucking, Systems Engineering, and Safety

Practice AreasAuto, Internet of Things, Geo - US Tech, Artificial Intelligence, Colleges, Companies, Autonomous Vehicles

57

iMotion Automotive Technology (Suzhou) Co., Ltd


Company Snapshot Business OverviewiMotion Automotive Technology (Suzhou) Co., Ltd, founded in 2016, is an AI startup company providing automated driving system solutions for OEM customers. The company’s core algorithms in automated driving domains include sensor data fusion, decision and planning, and vehicle control. iMotion also have competences in automotive hardware/software/system design and validation, providing full stack R&D capabilities for automated driving solutions.


Christian MuellerCEO - iMotion Germany Chief Scientist

Calvin LuCTO

Walt SongCo-Founder and CEO

Kim ZhuSales Director

Hong LuoDirector - Software

Alan LiDirector - Hardware

Type


Headquarters

Suzhou, Jiangsu Sheng, China

Number of Employees

N/A

Investors

Future Capital

Key Partners

GZVCM, FutureCap, CHJ Automotive,Oriza Seed, DFKI, Apollo, Mobileye

Application/Markets

Vehicle control systems

Key Products

ADAS, Autopilot system, ACC, AEB,LKA

Type of Technology


Estimated Revenues

N/A


USD 14.50mn Practice AreasAuto, Artificial Intelligence, Geo - China Tech, Internet of Things, Autonomous Vehicles

R&D centers: iMotion Suzhou and iMotion Germany

Manufacturing plant: iMotion Electronics

Test Location: iMotion Changshu

Worldwide Locations

58

Kodiak Robotics, Inc.


Company Snapshot Business OverviewKodiak Robotics, Inc., founded in 2018, is an autonomous technology development company for the trucking industry. Kodiak Robotics is developing a self-driving technology for long-haul trucking. Its full-stack autonomous driving system will leverage the combined advantages of radars, LiDARs, sonars, and cameras. The company is primarily focused on the software part and will use third-party sensors.


Andreas WendelVP - Engineering

Paz EshelCo-Founder and COO

Don BurnetteCo-Founder and CEO

Jordan ColemanGeneral Counsel

Zsuzsanna MajorVP - People

Type


Headquarters


Number of Employees

~50

Investors

Battery Ventures, Lightspeed, TVP,Charles River Ventures

Key Partners

N/A

Application/Markets

Transportation, Trucking, Railroad

Key Products

Automotive software

Type of Technology


Estimated Revenues

N/A


USD 40.00mn

Practice AreasAuto, Geo - US Tech, Artificial Intelligence, Internet of Things, Autonomous Vehicles, Companies

59

Microsoft Corporation


Company Snapshot Business OverviewMicrosoft Corporation, founded in 1975, is a developer of advanced technologies and platforms for autonomous vehicle development and mobility solutions. The company is operation in the areas including mobility experience transformation, auto industry innovation, data-driven transportation technologies, emission-free automobiles. Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge.

Type


Headquarters

Redmond, Washington, US

Number of Employees

131,000

Key Partners

Renault, Nissan, Volkswagen, Mitsubishi, BMW, LG, FEV Europe

Application/Markets

Autonomous vehicle development, mobility services, supply chain

Key Products


Type of Technology

Cloud platform, vehicle connectivity platformTotal Revenues

USD 110.40bn


USD 39.80mn


John W. ThompsonChairman

William H. Gates IIIFounder and Technology Advisor

Satya NadalCEO

Peggy JohnsonHead-Business Development Group

Harry ShumHead-AI and Research Team

Scott GuthrieHead-Cloud + AI Group

Kurt DelBeneEVP-Corporate Strategy and Operations

SpecialtiesSolutions

Data ingestion and storage, big compute services, test and evaluate a driverless platform, automated driving solutions validation

Specialties

Advanced driver-assistance, autonomous capabilities, Cloud platform

Investors

N/A

60

Mighty AI, Inc.


Company Snapshot

Specialties

Business OverviewMighty AI, Inc., founded in 2014, provides data management platform for autonomous vehicle data. The company offers all the software, expertise, and expert annotators that help businesses to obtain the datasets they need to train and scale their computer vision and natural language models. Mighty AI was formerly known as Spare5. The company operates as a subsidiary of Uber Technologies since June’ 2019.

Artificial intelligence, machine learning, computer vision, natural language processing, autonomous vehicles, autonomous driving, AI models, ground truth data, data management, human intelligence, and perception models


Isaac KatoPresident

Teresa KotwisCEO

Daryn NakhudaCEO

Darren JustusVP - Product

Eric WebsterChief Revenue Officer

Type

Training Data Platform

Headquarters

Seattle, Washington, the US

Number of Employees

c.75

Investors

N/A

Key Partners

Accenture, Intel, IBM, Amazon, Siemens, Samsung

Application/Markets

Interactive software

Key Products

Autonomous software

Type of Technology

Labeling technology

Estimated Revenues

N/A


USD 27.00mn

61

Momenta.ai


Company Snapshot

Specialties

Business OverviewMomenta.ai, founded in 2016, engages in building the unmanned vehicle brain focusing on deep learning software in perception, HD semantic mapping, high precision mapping, and data-driven path planning that enables the realization of full autonomy. Momenta provides its software solutions to automotive Tier 1 suppliers for OEM customers. Additionally, the company offers a set of deep-learning based software in perception, HD semantic mapping, and data-driven path planning

Deep learning, computer vision, artificial intelligence, self driving car, autonomous driving, mobility, autopilot, vision based environmental perception, HD mapping, path planning, ADAS, DMS, driving safety, and fleet safety


Shaoqing RenDirector - R&D

Xudong CaoCEO

Yan XiaDirector - R&D

Gang SunDirector - R&D

Type


Headquarters

Beijing, China

Number of Employees

N/A

Investors

Blue Lake Capital, Cathsy Capital, GGV capital, Nio Capital, ZhenFund

Key Partners

N/A

Application/Markets

Systems Software

Key Products

Automotive software

Type of Technology

AI technology

Estimated Revenues

N/A


USD 200.00mn

62

National Instruments Corporation


Company Snapshot Business OverviewNational Instruments Corporation, founded in 1976, is a developer of high-performance automated test and automated measurement system to cater to the engineering challenges. The company offers a wide range of automotive applications for powertrain, ADAS, end-of-line, and infotainment and V2X systems. NI also offers data management and analysis. The company operates across 40 locations worldwide.


Karen RappChief Safety Officer and Treasurer

Eric StarkloffPresident and COO

Alex DavernChief Executive Officer

Scott RustSenior Vice President-Product R&D

Carla Pineyro SublettChief Marketing Officer

Rob PorterfieldVice President-Manufacturing

Chad ChesneyVice President and General Manager-Transportation Business

Type

Electrical/Electronic Manufacturing

Headquarters

Austin, Texas, US

Number of Employees

6,400

Investors

N/A

Key Partners

Averna, Captronic Systems,Loccioni, measX, Peritec, Elcom

Application/Markets

Software-defined platform

Key Products

Automated test and automated measurement systems

Type of Technology

Open platform

Net Sales

USD 1.4bn


USD 36.90mn

63

Nuro, Inc.


Company Snapshot Business OverviewNuro, Inc., founded in 2016, manufactures self-driving vehicles to transport goods. The Company offers fully autonomous, on-road vehicle designed to transport goods. Nuro operates through its fleets in California, Texas and Arizona.


Jiajun Zhu Co-Founder

Dave FergusonCo-Founder

Andrew ClareHead, Technical Operations

SpecialtiesRobotics and autonomous vehicles

Type

Automobile Manufacturer

Headquarters


Number of Employees

c.300

Investors

Softbank, Greylock Partners, Gaorong Capital

Key Partners

Kroger and Fry Foods

Application/Markets

Automotive software for Autonomous vehicles

Key Products

Automotive software

Type of Technology

Robotics technology

Estimated Revenues

N/A


USD 1.00bn

64

nuTonomy Inc.


Company Snapshot Business OverviewnuTonomy Inc., founded in 2013, is a provider of software solution for driverless fleets. The company is focused on developing, and commercializing autonomous vehicles and systems that enable point-to-point mobility via large fleets of autonomous vehicles in challenging urban driving environments. The company’s software, nuCore, is a flexible, modular system for perception, mapping, localization, motion planning, decision making and control of passenger vehicles operating in complex, urban environments. In November 2017, nuTonomy joined Aptiv as a part of its automated mobility solutions. The company operates through its offices in Boston, Santa Monica, and Singapore.


Doug ParketCOO

Emilio FrazzoliCTO & Chief Scientist

Karl IagnemmaPresident

Jake CheuvrontVP-Software

Gretchen EffgenVP-Partnerships

SpecialtiesAutonomous Vehicles, Fleet management, and Self-Driving Cars

Type


Headquarters

Boston, Massachusetts, US

Number of Employees

100

Investors

N/A

Key Partners

nvidia, PSA, City of Boston, Lyft, Grab, Land Transport Authority, Velodyne

Application/Markets

nuCore

Key Products


Type of Technology

Open platform

Net Sales

USD 3.00mn


USD 39.80mn

65

NVIDIA Corporation


Company Snapshot Business OverviewNVIDIA Corporation, founded in 1993, is an AI computing company that develops AI-based platforms/solutions for automotive industry. NVIDIA solutions empower leading automakers, truck makers, suppliers, startups, and others on the path to autonomous driving. The company has over 370 partners including carmakers, truck makers, auto suppliers, mapping, sensors, software, and research firms.

SpecialtiesGPU-accelerated computing, artificial intelligence, deep learning, virtual reality, gaming, self-driving cars, supercomputing, robotics, virtualization, parallel computing, professional graphics, and automotive technology

Type

AI computing

Headquarters

Santa Clara, California, US

Number of Employees

13,277

Investors

N/A

Application/Markets

AI-enabled solutions

Key Products

Autonomous vehicle development platform

Type of Technology

Cognitive data science

Total Revenues

USD 641.00mn


N/A


Colette KressEVP and CFO

Chris A. MalachowskyFounder and NVIDIA Fellow

Jensen HuangFounder, President and CEO

Rob CsongorHead-Automotive

Debora ShoquistEVP-Operations

Jay PuriEVP-Worldwide Field Operations

Innovation and Milestones• Constellation• Safety Force Field• Drive AP2X• TUV SUD

• Myroute• 50-Mile Loop• Pegasus• China AV License

• Surround VIZ• Hyperion• Drive SIM• Global Mapping

Key Partners

Audi, Mercedes, Toyota, Volvo, Volkswagen, Daimler Robotaxi

66

Optimus Ride Inc.


Company Snapshot Business OverviewOptimus Ride Inc., founded in 2015, is a developer of self-driving vehicle technology for geo-fenced environment. The company's technology leverages advances in complex sensor fusion, mapping, computer vision and machine learning to deploy a new form of transportation system that enables sustainable and equitable mobility access, enabling public to use transportation from commercial vessel operations to transit options.

Type


Headquarters

Boston, Massachusetts, US

Number of Employees

112

Investors

NVIDIA GPU ventures, UJ ventures, Morado venture partners, Greycroft,Emerson collective, Eight roads

Key Partners

N/A

Application/Markets

Public transportation

Key Products

Automotive software

Type of Technology


Estimated Revenues

N/A


USD 43.98mn

SpecialtiesAutonomous (self-driving) vehicles, electric vehicles, shared fleets, computer vision, machine learning, control systems, transportation, mobility services, and automation

Practice AreasAuto, Geo - US Tech, Artificial Intelligence, Colleges, Internet of Things, Autonomous Vehicles


Albert HuangCo-Founder and CTO

Jenny BerlinCo-Founder, President, and COO

Ryan ChinCo-Founder, CEO and Board member

67

Oxbotica Ltd


Company Snapshot Business OverviewOxbotica Ltd, founded in 2014, is an autonomous driving software development company. The Company develops autonomous software - particularly Selenium and Caesium for real-world applications across multiple sectors based on physics, robotics, math, and AI. It is the first company to test self-driving vehicle in public in the UK.


Clive ScrivenerChairman

Paul NewmanFounder and CTO

Ozgur TohumcuCEO

Marta OstroumoffFinancial Director

Graeme SmithSenior VP - External Affairs

Kevin AllingtonCOO

Type


Headquarters

Oxford, England

Number of Employees

120+

Investors

IP Group Plc (lead investor), Parkwalk Advisors, AXA XL

Key Partners

Navtech Radar, Addison Lee Group, Gatwick Airport, Driven, AXA XL

Application/Markets

Automotive, Industrial, Mining, Logistics & Transportation

Key Products

Autonomous driving softwares:Selenium & Caesium

Type of Technology

Autonomous-driving technology

Estimated Revenues

USD 4.00mn


USD 18.41mnBen UpcroftVP - Technology

Richard JinksVP - Commercial

SpecialtiesMobile autonomy, 3D scene perception & understanding, localization and mapping solutions, robotics & autonomous systems, autonomous vehicles, machine learning, artificial intelligence, computer vision, software engineering, self driving, C++, robotics, simulation, mapping, localization

Practice AreasAuto, Artificial Intelligence, Geo - UK and Ireland Tech, Geo - Europe Tech, Internet of Things, Autonomous Vehicles, Enterprise Infrastructure

68

Peloton Technology Inc.


Company Snapshot Business OverviewPeloton Technology Inc., founded in 2011, is an automated vehicle technology company focused on improving the safety and efficiency of freight transportation. The company offers tools that avoid crashes and improve operational insight through connectivity, automation, and advanced data analytics. Peloton’s flagship driver-assistive platooning system links the active safety systems of pairs of trucks and connects them to a cloud-based Network Operations Center (NOC) that limits platooning to appropriate roads and conditions.


Dave LyonsFounder and CIO

Antonio VittiCFO

Josh SwitkesFounder and CEO

Matt HallVP - Business Development

Dean HogleVP – Hardware Engineering

Mark HerbertVP - Software

Type


Headquarters


Number of Employees

90

Investors

B37 Ventures, Band of Angels, BP Ventures, Intel Capital, Denso, Lytx, Magna, NGP Capital and Okaya

Key Partners

N/A

Application/Markets

Vehicle safety, fuel efficiency

Key Products

Geofencing, Intelligent ordering and Platooning

Type of Technology

Safety and Efficiency Technology

Estimated Revenues

N/A


USD 101.86mn

Practice AreasAuto, Internet of Things, Geo - US Tech, Colleges and Autonomous Vehicles

Test Locations

Testing Allowed

CA

NV

OR

WA

ID

MT

WY

UT

AZNM

CO

ND

SD

NE

KS

TX

OK

MN

IA

MO

AR

LA

IL

WIMI

INOH

PA

WV VA

KY

TNNC

SC

GAALMS

FL

ME

NY

69

Perceptive Automata, Inc.


Company Snapshot Business OverviewPerceptive Automata, Inc., founded in 2015, is a provider of human-behavior prediction software for automated vehicles. Perceptive Automata works with OEMs, suppliers, and technology companies worldwide to assist in building and integrating automated driving systems. The company’s software is built on voluminous and scalable data that runs faster than real-time using only light compute resources.

SpecialtiesAI, Cognitive Science, Autonomous Driving, Machine Learning, Autonomous Vehicles, Self-Driving Vehicles, Neuroscience, Computer Vision, Deep Learning, Behavioral Science, Humans, Artificial Intelligence, Automated Vehicles, Robotics, Automotive, Transportation, Mobility, Self-Driving Cars, and ADAS

Type


Headquarters

Somerville, Massachusetts, US

Number of Employees

50

Investors

Jazz Venture Partners, First Round, SLOW, Toyota AI Venture, Hyundai Cradle

Application/Markets

ADAS

Key Products

Autonomous driving system

Type of Technology

Predictive analytics

Total Revenues

USD 641.00mn


USD 23.00mn


Natasha FaheyDirector - Operations

David CoxCo-Founder and Advisor

Sam AnthonyCo-Founder and CTO

Sid MisraCo-Founder and CEO

James GowersVP - Strategy and Business Development

Avery FallerCo-Founder

Key Partners

WIRED, NVIDIA, QUARTZ, SLATE, Daimler

70

Perrone Robotics, Inc.


Company Snapshot Business OverviewPerrone Robotics, Inc., founded in 2003, is a developer of real-time sensors, control systems and a robotics software designed to deliver autonomy for the mobility of people and things. The Company's systems and software is a customizable autonomous robotics platform that creates a UI/interface or add logic or pre/post-processing to any step in the sense-plan-act continuum, enabling users to build robust mobile autonomous robotics applications and fully and partially autonomous cars and trucks.

Type


Headquarters

Crozet, Virginia, US

Number of Employees

21

Investors

Intel capital

Key Partners

Intel, Liebherr, First Transit, Velodyne,Wind, SICK, Quanergy, aicas, DATASPEED,XILINX

Application/Markets

Robotics

Key Products

Automotive software

Type of Technology


Estimated Revenues

N/A


USD 4.00mn

SpecialtiesSoftware design, hardware design, robotic solutions, autonomous vehicle solutions, driverless cars, and autonomous vehicles

Practice AreasAuto, Internet of Things, Artificial Intelligence, Geo - US Tech, Enterprise Applications, Technology Enterprise, Infrastructure, Autonomous Vehicles


Dave HofertCMO and VP - Sales

Michael RaschidChief Legal Officer and VP - Operations

Paul PerroneFounder, President and CEO

71

PlusAI, Inc.


Company Snapshot Business OverviewPlusAI, Inc., founded in 2016, is a developer of full-stack self-driving technology to enable large-scale autonomous commercial fleets. The company has been working on improving the robustness and safety of its fully functional Level-4 autonomous trucks. PlusAI collaborates with the largest OEMs to build self-driving trucks that are safer than human-operated vehicles. The company operates a fleet of autonomous trucks in pilot programs with the top freight shipping companies.

Type


Headquarters

Cupertino, California, US

Number of Employees

200+

Investors

Sequoia Capital, GSR Ventures, Plug and Play Tech Center, Hemi Ventures, TSVC Capital, SAIC Capital

Key Partners

N/A

Application/Markets

Transportation, Trucking

Key Products

Automotive software

Type of Technology



USD 2.00mn

Practice AreasAuto, Geo – US Tech, Artificial Intelligence, Colleges, Internet of Things, Autonomous Vehicles


Hao ZhengCo-Founder and CTO

David LiuCo-Founder and CEO

Tim DalyChief Architect

Shawn KerriganCo-Founder and VP - Engineering

SpecialtiesArtificial intelligence, autonomous driving, self-driving trucks, machine learning, deep learning, computer vision, and robotics

Estimated Revenues

N/A

72

Pony.ai, Inc.


Company Snapshot

Global Locations

Business OverviewPony.ai, Inc., founded in 2016, is a self-driving technology development company. The Company offers self-driving autonomous cars to do everyday things. In September 2018, launched PonyAlpha, a self-driving system. Recently, in April 2019, the company introduced a test project PonyPilot, an autonomous driving fleet.


Tiancheng LouCo-founder and CTO

James PengCo-founder and CEO

Andrew YaoChief Advisor

Tiffany ZhaoDirector - Business Development

Silicon ValleyUSD Guangzhou

Chine

BeijingChine

Type


Headquarters

Fremont, California, the US

Number of Employees

c.244

Investors

DCM Ventures, Comcast Ventures, ClearVue Partners, Legend Capital

Key Partners

N/A

Application/Markets


Key Products

Automotive software

Type of Technology


Estimated Revenues

N/A


USD 264.00mn

73

Progress (DataRPM Corporation)


Company Snapshot Business OverviewProgress (DataRPM), founded in 2011, is a provider of machine learning company focused on cognitive predictive maintenance solutions. In March 2017, the company was acquired by Progress, an application development across various business applications. DataRPM assists auto companies in predicting asset failure, reducing maintenance costs, and optimizing inventories and resources. Progress operates through 16 offices and over 50 resellers across 6 continents.

SpecialtiesPlatform-as-a-Service-(PaaS), Data Connectivity, Application Development & Deployment, Machine Learning, cognitive, and Predictive Analytics

Type

Machine learning automation

Headquarters

Bedford, Massachusetts, US

Number of Employees

58

Investors

N/A

Key Partners

Brighthouse Automotive, ASA Automotive Systems

Application/Markets

Anomaly detection, predictive maintenance

Key Products


Type of Technology

Cognitive data science platform

Total Revenues

USD 9.80mn


USD 6.80mn


John AinsworthSVP-Core Products

Paul JalbertCFO

Yogesh GuptaCEO

Tony MurphyChief Information Officer

Loren JarrettGM-Developer tooling business

Stephen FabermanChief Legal Officer

Gary QuinnSVP-Core Field Organization

Dmitri TcherevikChief Technology Officer

Dimitre TaslakovChief Talent Officer

74

Renesas Electronics Corporation


Company Snapshot

Renesas Autonomy Platform

Business OverviewRenesas Electronics Corporation, founded in 2002, is a self-driving technology development company. The Company’s automotive business includes the Automotive control that offers semiconductor devices for controlling automobile engines and bodies, and Automotive information, that offers semiconductor devices used in automotive information systems such as navigation systems. The Group mainly supplies Micro-Controllers (MCUs), System-on-Chips (SoCs), analog semiconductor devices and power semiconductor devices.


Masahiko NozakiEVP and GM, Production and Technology Unit

Hidetoshi ShibataCEO and President

Tetsuya TsurumaruChairman

Shinichi YoshiokaSVP and CTO, Automotive Solution Business Unit

Shingo YamamotoEVP and GM, Automotive Solution Business Unit

Hirotaka YamanamiEVP and GM, Organization Development Unit

Renesas Autonomy allows customers to develop applications themselves or choose a solution from Renesas

Olav SchulteSVP and Deputy General Manager Automotive Solutions Business

Connecting, Sensing & Analyzing Deciding Controlling

Multi-CameraSensing and Visualization

Radar / LidarSensing

ConnectivityGeo and Traffic information

Sensor FusionCollection and Fusion of Sensor Data

CognitiveDecision Making

Automotive Security Gateway

Driving(Powertrain)

Banking/Chassis(Safety)

Steering(EPS)

Type

Semiconductors manufacturer

Headquarters

Tokyo, Japan

Number of Employees

19,546

Investors

MUFG Bank, Ltd, Mizuho Bank, Ltd, Sumitomo Mitsui Trust Bank, Limited

Key Partners

Intrinsic ID, Arrow Electronics, Inc, create software, Medium One, Inc

Application/Markets

Internet software

Key Products

Semiconductor Products

Type of Technology

Semiconductor technology

Revenue (Automotive)

USD 4.00bn


N/A

75

Renovo Motors, Inc.


Company Snapshot Business OverviewRenovo Motors, Inc., founded in 2010, is an autonomous operating system provider accelerating innovation in automated mobility as a Service. The company deploys its technology across vehicles, fleets, and the cloud to expand the Automated Mobility-on-Demand (AMoD). The company provides AWare OS for Automated Mobility which merges software, data analytics, and automotive-grade safety systems into a unified solution for development, pilot and commercial deployments.

Type


Headquarters

Campbell, California, US

Number of Employees

50+

Investors

True Ventures, Verizon Ventures, Synapse Partners, Menlo Ventures

Key Partners

Google, Intel, Nokia, Ideo, Cisco, Caterpillar, Oracle

Application/Markets

Commercial vehicles

Key Products

AWare OS

Type of Technology



USD 14.50mn

Practice AreasAuto, Internet of Things, Geo – US Tech, Artificial Intelligence, Colleges, Autonomous Vehicles


Jason StinsonCo-Founder - CTO

Chris Heiser Co-Founder - CEO

Mary PageVP - Finance and Operations

Robin NijorVP - Business Development and Marketing

Estimated Revenues

N/A

76

Shenzhen Roadstar AI Co., Ltd.


Company Snapshot Business OverviewShenzhen Roadstar AI Co., Ltd., founded in 2017, is an AI startup specialized in the research, development, and implementation of Level 4 autonomous driving technologies. The company provides autonomous driving solutions powered by its proprietary multi-sensor pre-fusion technology. Roadstar focuses on providing fully autonomous robotaxi services and level 2/3 autonomous design solutions for automotive partners. Additionally, The company offers technical consultation and design solutions for specific applications and requirements from clients.

Type


Headquarters

Shenzhen, Guangdong, China

Number of Employees

150+

Investors

Shenzhen Capital Group, Wu Capital,Yunqi Partners, CMB International, Yuan Jing Capital

Key Partners

N/A

Application/Markets

Robotaxi, level 2/3 autonomous driving

Key Products

HeteroSync and DeepFusion

Type of Technology

Level 4 autonomous driving solutions

Estimated Revenues

N/A


USD 138.10mnPractice AreasAuto, Internet of Things, Geo – US Tech, Artificial Intelligence, Colleges, Companies, Autonomous Vehicles


Rui YangCloud Computing Engineer

Raymond W.Autonomous Vehicle Operations

Liang HengCo-Founder and CTO

SpecialtiesAutonomous vehicle, self-driving, artificial intelligence, computer vision, control, robotics, mobility, transportation, deep learning, machine learning, technology, software, simulation, and motion planning

77

Tianjin Qingzhi Technology Co., Ltd


Company Snapshot Business OverviewTianjin Qingzhi Technology Co., Ltd, founded in 2016, is a developer of self-driving technology. The company’s automotive engineering department has ~20 years of smart car and chassis electronic technology. The team has 10-20 years of experience in the field of smart cars and automotive electronics.

Tsintel Technology is focused on developing self-driving technologies for urban transportation for autonomous vehicles. The company has developed a full-stack self-driving technology combining high-precision sensors, embedded controllers, and a cloud-based intelligent control algorithm. It has also developed an advanced driving assistance system (ADAS) and an advanced emergency braking system (AEBS) for commercial vehicles.

Type


Headquarters

Tianjin, Tianjin Shi, China

Number of Employees

100+

Investors

Northern Light Venture Capital, LegendStar

Key Partners

Intel, FCA, Jagua-Land Rover, Lyft

Application/Markets

Commercial vehicles

Key Products

ADAS, networked automotivetechnology services

Type of Technology

Intelligent-driving technology

Estimated Revenues

N/A


USD 12.80mn

Practice AreasAuto, Internet of Things, Artificial Intelligence, Geo - China Tech, Autonomous Vehicles

78

Tier IV, Inc.


Company Snapshot Business OverviewTier IV, Inc., founded in 2015, is a provider of software and system-related solutions for developing autonomous vehicles. The Company, through its Autoware, offers an open-source software for self-driving technology. Tier IV also provides sensor fusion technologies including a fusion of laser scanners and cameras along with accessories to control autonomous driving functions from the front seats. During July 2019, the company raised USD 100mn for developing open source software for self-driving cars.

Type


Headquarters

Tokyo, Japan

Number of Employees

N/A

Investors

Sompo Japan Nipponkoa Insurance, Yamaha Motor, JAFCO, KDDI Corp and Sony Innovation FUnd

Key Partners

Apex.AI, Linaro 96Boards

Application/Markets

R&D Platform, 3D mapping, predictionand planning

Key Products

AI Pilot

Type of Technology


Estimated Revenues

N/A


USD 130.00mn


Kazuya TakedaCEO and President

Practice AreasAuto, Internet of Things, Geo - Japan Tech, Artificial Intelligence, and Autonomous Vehicles

Autoware Data Platform

SpecialtiesAutonomous vehicles and their components and machine learning

Shinpei KatoFounder, CTO and Board Member

ROSBAG Recording ROSBAG Autoware Data

Simulation

3D Mapping

AI Research

DownloadUpload

Images

CAN Messages

Point Cloud

Users

79

TomTom International B.V.


Company Snapshot

Test Locations

Business OverviewTomTom International B.V., founded in 1991, develops and sells navigation and location-based products and services. The company provides maps, navigation software and services. TomTom’s automotive business unit offers components for embedded navigation systems, mobile applications, advanced driver assistance systems (ADAS), and autonomous driving (AD) applications to OEMs and head unit (Tier 1) vendors. The company operates through 43 offices spread across 29 countries.


Jacqueline BakkerDeputy Chairman

Harold GoddijnCEO

Derk HaankChairman

Alain De TaeyeNon-Executive Director, Cylent

Taco TitulaerCFO

Automotive & Enterprise 54%

Consumer46%

2018AUSD 811mn

Automotive66%

Enterprise34%

2018AUSD 439mn

Key Products

Maps Traffic

Navigation Maps APIs

Type


Headquarters

Amsterdam, the Netherlands

Number of Employees

5,077

Investors

N/A

Key Partners

BMW, Daimler, Fiat, Renault, VW,PSA, Nissan Mitsubishi

Application/Markets

Internet Software

Key Products

Maps, Navigation Software

Type of Technology

Location-Based Technologies

Revenue (Automotive and Enterprise)

USD 439.00mn


N/A

80

Voyage Auto, Inc.


Company Snapshot Business OverviewVoyage Auto, Inc., founded in 2017, is a provider of autonomous taxi service intended to carry people anywhere for a very low cost. The company's autonomous taxi service focuses on creating a fleet of self-driving taxis using retrofitted mass-production automobiles, enabling passengers to control the whole experience.

Type


Headquarters


Number of Employees

71

Investors

Jaguar Land Rover, Initialized Capital, SV Angel, Khosla Ventures, Charles River Ventures, InMotion Ventures

Key Partners

N/A

Application/Markets

Transportation, trucking, railroad

Key Products

Autonomous taxi service

Type of Technology


Estimated Revenues

N/A


USD 23.22mn

SpecialtiesAutonomous vehicles, deep learning, robotics, and machine learning

Practice AreasAuto, Geo - US Tech, Internet of Things, Autonomous Vehicles


Drew GrayCTO

MacCallister Higgins

Co-Founder and Director -Growth

Oliver CameronCo-Founder and CEO

81

Waymo LLC


Company Snapshot

Test Locations

Business OverviewWaymo LLC, founded in 2009, is a self-driving technology development company. The Company offers self-driving autonomous cars to do everyday things. Waymo serves customers in the US. Waymo operates as a subsidiary of a Alphabet since 2016.


Deborah A P HersmanChief Safety Officer

Amee ChanChief Commercial Officer

John KrafckikChief Executive Officer

Jennifer HaroonHead-Business Development

Dmitri DolgovHead-Self Driving Technology

Ronald L Medford RonDirector-Sales

MIDetroit

GAAtlanta

TXAustin

AZPhoenix, Chandler, GilbertGuadalupe, Mesa, Tempe

CAMountain View, Carmel, Daly City,Half Moon Bay, Los Altos, Menlo Park,Merced, Morgan Hill, San Francisco, San Luis Obispo, Santa Cruz, Sunnyvale,Polo Alto, Tiburon, Truckee

WAKirkland

Type


Headquarters


Number of Employees

950

Investors

N/A

Key Partners

Intel, FCA, Jagua-Land Rover, Lyft

Application/Markets

Internet software

Key Products

Automotive software

Type of Technology


Estimated Revenues

USD 5.00mn


USD 8.00mn

82

WeRide.ai


Company Snapshot

Technology

Business OverviewWeRide.ai, founded in 2017, is a smart mobility company that creates L4 autonomous driving technologies for passenger vehicle market. The company has successfully deployed & tested its full-stack (hardware + software) autonomous technology powered by artificial intelligence, computer vision, multi-point simulation, sensor fusion, and related technologies. The Company maintains R&D and operation centers in Beijing and Anqing, and Silicon Valley in the US. WeRide aims to bring autonomous vehicles in operation in Chinese cities by 2020.


Li ZhangCOO

Yan LiCo-Founder and CTO

Tony HanCo-Founder and CEO

Qing LuCo-Founder, CFO and President

Type


Headquarters

Guangzhou, China

Number of Employees

200+

Investors

Alliance RNM, SenseTime, AgriculturalBank of China, Qiming Venture, JohnsonElectric, Idinvest Partners, Hanfor

Key Partners

N/A

Application/Markets

Smart Mobility

Key Products

Full stack software & hardware forautonomous vehicles

Type of Technology

L4 AD technologies

Estimated Revenues

USD 1.00mn


USD 52.00mn

Practice AreasAuto, Internet of Things, Geo - US Tech, Artificial Intelligence, Geo - China Tech and Autonomous Vehicles

Cross-Verified Sensor

Front Nose LiDAR

Real-time Data Sync

360-degree Field of View

250-meter Range

83

Zoox, Inc.


Company Snapshot

Specialties

Business OverviewZoox, Inc., founded in 2014, Zoox designs and develops self-driving vehicle technology and manages a fleet of cars. The company is developing platforms and solutions for fully autonomous driving, zero-emission vehicles, and mobility-as-a-service. Zoox integrates the latest automotive, robotics and renewable energy to design a symmetrical, bidirectional, zero-emissions vehicle.

Robotics, Artificial Intelligence, Autonomous Mobility, Self-Driving Cars, Vehicle Development, Computer Vision, Machine Learning, Simulation, Motion Planning, Electric Vehicles, LIDAR, and Sensors


Erika LinfordVP, Commercial Development

Jesse LevinsonCo-Founder and CTO

Aicha EvansCEO

Amy VernettiChief People Officer

Brijesh TripathiVP, Advanced Hardware Engineering

Type


Headquarters

Foster City, California, US

Number of Employees

c.500

Investors

Blackbird Ventures, Grok Ventures, Lux Capital, Threshold Ventures

Key Partners

N/ A

Application/Markets

Internet software

Key Products

Automotive software

Type of Technology


Estimated Revenues

N/A


USD 970.00mn

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