Team Sentinel● Team members:

○ Jared Dunnmon

○ Darren Hau

○ Atsu Kobashi

○ Rachel Moore

● Military Liaisons

○ John Chu (Colonel, US Army)

○ Todd Cimicata (Commander, US Navy)

● Problem Sponsor

○ Jason Knudson (Lieutenant, US Navy 7th Fleet)

● Tech Mentors include:

○ Graham Gilmer (Booz Allen Hamilton)

○ Sean Murphy (Hytrust)

○ Drew Barker (NIAC)

● # of customers we spoke to this week: 14

● What we do: we create data analysis and information sharing infrastructure to leverage remote sensing capabilities in support of the Seventh Fleet’s maritime domain awareness

● Why it matters: $25k sonar buoys and convoluted information sharing processes

Team Sentinel

● Team members:

○ Jared Dunnmon

○ Darren Hau

○ Atsu Kobashi

○ Rachel Moore

● Military Liaisons

○ John Chu (Colonel, US Army)

○ Todd Cimicata (Commander, US Navy)

● Problem Sponsor

○ Jason Knudson (Lieutenant, US Navy 7th Fleet)

● Tech Mentors include:

○ Graham Gilmer (Booz Allen Hamilton)

○ Sean Murphy (Hytrust)

○ Drew Barker (NIAC)

● # of customers we spoke to this week: 12

● What we do: we create data analysis and information sharing infrastructure to leverage remote sensing capabilities in support of the Seventh Fleet’s maritime domain awareness

● Why it matters: $25k sonar buoys and convoluted information sharing processes

“I am the sentinel of the sea.”

-- Anonymous

Team Sentinel

● Team members:

○ Jared Dunnmon

○ Darren Hau

○ Atsu Kobashi

○ Rachel Moore

● # of interviews: 13

○ Users: 5

○ Buyers: 3

○ Experts: 7

● What we do: Fill in intelligence gap about surface ships in an A2/AD environment by

○ Enabling rapid deployment of low-cost sensors

○ Expanding breadth of data acquired

○ Enhancing intel through contextualization

● Why it matters:

○ A2/AD prevents deployment of traditional ISR

○ Current assets are incapable of providing timely insight throughout 7th Fleet’s operational domain

● Military Liaisons

○ John Chu (Colonel, US Army)

○ Todd Cimicata (Commander, US Navy)

● Problem Sponsor

○ Jason Knudson (Lieutenant, US Navy 7th Fleet)

● Tech Mentors include:

○ Palantir (TBD)

Customer Discovery

Hypotheses Experiments Results Action

Information sharing is core problem

- Interview with Moon- Engagement with Knudson

- We learned about MOC - very fluid info transfer between N2/N3- National efforts to address info sharing

- Determine if compatible format (.kmz) is all we need to plug into system

Predictive analytics for hot-spots will add value

- Engagement with Knudson, Chimi

- This will be a “gain” but is not the main pain-point we should be addressing.

- No action until proven otherwise

A2/AD -> we are interested in ISR for sub-surface ships

- Engagement with Knudson- Interviews with Gauthier, Hertel, Ahn- NAP article on C4ISR

- 7th Fleet wants details about surface ships (e.g. hull number)- A2/AD is a concern because we can no longer deploy traditional ISR assets (e.g. P3’s)

- Determine the specific information 7th Fleet wants about surface ships (e.g. materials, personnel, speed)

Sensors platforms exist for our needs

- Interview with Gauthier -> waveglider efforts- Interview with Frost, Ahn -> temporal problem

- EXISTENCE ≠ AVAILABILITY- Sensor platforms cannot be deployed in a timely fashion

- Determine a “good-enough” time to data acquisition (e.g. 1 hr? 30 min?)

Research- Interviews to assess needs, organizational dynamics, procurement strategy- Site visits to see current practices- Identify key geographic areas of interest

Prototype- Evaluate existing sensor platforms with commercial partners- Integrate sensor(s) of interest into partner product- Compile existing data resources- Evaluate ML algorithms

Scaling- Develop fabrication / procurement strategy- Develop tactical deployment strategy

Strategic Decision MakersE.g. CPT Greg Hussman, VADM Joseph Aucoin

Analysts (N2)E.g. Jason Knudson, John Chu, Jed Raskie, Joseph Baba Deployers (N3)We need to find + talk with these people

ACQUIRING READY-TO-USE DATA

Episodic persistence- Persistent coverage of a chokepoint area for a limited time (days - 1 mo)

Timely deployment strategy- i.e. deploy disposable sensors off of waveglider- sub-2 hr latency (TBD)- deployable from multiple platforms

Lower cost sensor solution- disposable/low-maintenance- modularity + distributed architecture

Open Architecture- Improved information sharing with differential permissions- Object-oriented database that is easily searchable- Cross-domain analysis techniques to integrate multiple data sources- Compatible data format (.kmz)

Actionable intelligence- Predictive vs reactionary intel through machine learning - identify potential hot spots- Simplifying to reduce data overload- Improved UI increases decision quality and speed

Reduce manpower burden: - Remove tedious/manual tasks through automation- More efficiently use existing analysts

- Decreased time to predict hot spots, ID & differentiate threats

- Good UI for operators, decision-makers

- Timely, episodic persistent coverage with easily-deployed system

- Cost savings with respect to existing solutions

- Prototype operability + demonstrated scalability

Hardware- Acquire initial sensor platform with single desired capability- Build multiple units pursuing the same threat group (network effects) and derive useful insights from analysis tools- Design deployment strategy + platform- Deploy pilot in operational environment- Develop fabrication/procurement pipeline + cost models for scaling

Software- Determine most useful data interface for analysts

Fixed- Buying proprietary data- Software tools- Hardware evaluation + prototyping equipment- Evaluation of commercial products

Prototyping- Existing sensor platforms- Existing deployment platforms- Academic research

Scaling- Available commercial + military data- Existing database tools (Palantir, AWS)

- Need demand from operators and deployment personnel in 7th Fleet

- Need commanding officer to confirm decision-making benefits

- Need intelligence officers from ONI / N2 to confirm effectiveness of insights

- Need IT approvals to integrate into systems

- Need support of commercial partners if want to leverage their platforms

Beneficiaries

Mission AchievementMission Budget/Costs

Buy-In

Deployment

Value Proposition

Key Activities

Key Resources

Key Partners

Military- 7th Fleet + designated sponsor- Naval Postgraduate School (NPS)- Office of Naval Research (ONR)- Acquisition Personnel

Commercial- Distributed sensor platform companies (i.e. Saildrone, AMS)- Data analytics (i.e. Palantir, Google)- Advanced manufacturing

Academic- Universities (i.e. University of Hawaii)- National Labs (Lincoln Labs, Sandia)

Other- IUU fishing + anti-smuggling stakeholders (i.e. Coast Guard, PNA)

Mission: Provide Cost-Effective, Actionable Intelligence at All Times

Testing- 7th Fleet assets for pilot- Research barge

Variable- Travel for site visits, pilots- R&D personnel- Manufacturing

Products& Services

- Timely data- Good UI/UX for

presenting data

- Cheaper acquisition- Less maintenance- Robust system that

can handle disruption- Increased coverage

area and persistence- Predictive

intelligence

Customer Jobs

Gains

Pains

Gain Creators

Pain Relievers

- Improved deployment strategy

- Good UI/UX- Automated alerts for

areas of interest

- Allocate assets- Identify, eliminate

threats- Predict hot spots- Safety of team- Projecting peace,

stability in region

- Increased asset / manpower utilization

- Better decisions- Deterrence- Preemptive

deployment

- Poor quality/lack of data- Time consuming system- Latency of data ->

insight- Reactive intelligence

Admiral/Strategic Decision Maker

Value Proposition Canvas

Products& Services

- Contextualized, object-oriented database

- Robust network- Algorithms for

processing, analyzing data

- Ability to search for trends across database

- Faster deployment of sensors

- Integration of data sources

- Automation of data analysis

- Predictive intelligence

Customer Jobs

Gains

Pains

Gain Creators

Pain Relievers

- Contextualized, object-oriented database

- Compatible data format- Incorporate multiple data

streams- Persistent coverage

- Collect & analyze data

- Communicate findings

- Piece together contextualized awareness

- More actionable insights

- Faster identification & response times

- Preemptive deployment

- Incorporation of context is manual/mental

- Poor quality / lack of data- Latency of data -> insight- No persistent coverage- Reactive intelligence

Analyst (N2)

Value Proposition Canvas

Products& Services

- Low cost, disposable sensors

- Improved deployment strategy

- Remote operability- Disposable- Reduced expense- Integration of data

sourcesCustomer

Jobs

Gains

Pains

Gain Creators

Pain Relievers

- Safe, at-distance deployment

- Autonomous operation- Disposable- Reduced expense

- Deploy sensors in timely manner

- Monitor status- Maintenance

- Safer deployment- Reduced manpower, time- Reduced operator error

- High manpower, time- Operator error- Safety concern for deploying

in unfriendly territory

Deployers (N3)

Value Proposition Canvas

Customer Workflow

N2

N3

N2(“owns”

the intel)

N3(“owns”

the assets)

Ready-To-Use DataDeployment

Data Acquisition

Data Analysis

Data

Order/Decision

Customer Workflow

N2

N3

N2(“owns”

the intel)

N3(“owns”

the assets)

Contextualized DataDeployment

Data Acquisition

Data Analysis

Data

Order/Decision

MVP

Data Acquisition

MVP

- What data is most useful to capture?- What sensor modalities can capture?- What products exist?

Data Acquisition

MVP

Deployment

- What data is most useful to capture?- What sensor modalities can capture?- What products exist?

- What deployment options exist?- What is easiest to deploy?- What is “good-enough” time to data acquisition?- What is the deployment process?

Data Acquisition

ContextualizedDatabase

MVP

Deployment

Last Month

Today

Object-orientedDatabase

Query

- What data is most useful to capture?- What sensor modalities can capture?- What products exist?

- What deployment options exist?- What is easiest to deploy?- What is “good-enough” time to data acquisition?- What is the deployment process?

- Is .kmz format all that is necessary for compatibility?- What do companies like Palantir do today?