SummaryTeam

4 — with 10+ years experience in AI, Risk Analysis & marketing

2 PhD engineers, 1 PhD in Finance, 1 Marketing pro

Product

Accurate credit risk solution: help banks decrease # Non Performing Loans

Business opportunityBoosting the accuracy of credit risk methodologies will lead to considerable gains.

Source: Issue 2 of NPL Europe, a publication overing non-performing loan (NPL) markets in Europe and the United Kingdom (UK).

Value non-performing loans - Europe

0

50

100

150

200

250

Germany UK Spain Italy Russia Greece

2008

2009

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

2005 2006 2007 2008 2009

% Corporate Debt Default - Portugal

AIRES Accuracy

MethodClassification

Weighted Efficiency (%)

Z-score (Altman) 62.7

Best Discriminant 66.1

MLP 71.4

Our Method 84.1

Source: Vieira, A.S., Neves, J.C.: Improving Bankruptcy Prediction with Hidden Layer Learning. Vector Quantization. European Accounting Review,

15 (2), 253-271 (2006).

AIRES Solution

Portal AIRES today

AIRES - recent events

PRESSDN (1 page), Sol, JN, I, S. Económico

INTERESTED PARTNERS

AIRES benefits

Client Benefits

Accuracy – better decisions

Efficiency - Cost Reduction

Savings of Capital - Basle

Investor Benefits

Scalable

High growth potential

High return and value creation

Market

INSURANCESBANKS

$??? Market Today Concentrated in 30 major customers Distributed among another 500

minor ones No customer has market power

Competition

SASSage Works3i-InfotechDun & BradstreetExperianEquifaxCrediriskCoface

We use more accurate AI tools. Our user interface is more user-friendly

Decisions based on more reliable and accurate information

Financials

Capital Employed 2011 2012 Total

Equity: 200 k€ 120 k€ = 320 k€Debt: 70 k€ = 70 k€Total 390 k€

Capital Invested:

Fixed Assets: 26 k€Working CapitalRequirements: 22 k€Development: 342 k€Total 390 k€

Pay-back: 2 YrsValue created: 10 M€

Working capital > 0 Liquidity – positiveDebt ratio < 75%

-500

0

500

1,000

1,500

2,000

2,500

3,000

2011

2012

2013

2014

2015

2016

K E

uro

s

Sales

EBIT

Free Cash Flow

Team

João Carvalho das Neves

Professor of Management, ISEG.

Ph.D. in Business Administration,

Manchester Business School

http://pascal.iseg.utl.pt/~jcneves/

Armando VieiraProfessor of Physics,

& entrepreneur. Ph.D. in Physics and

researcherin Artificial Intelligence

http://armando.sairmais.com

Bernardete Ribeiro

Associate Professor of Computer Science,

University Coimbra,

researcher at CISUC.

http://dei.uc.pt/bribeiro

Tiago Marques Marketing and

Business Consultant,E-Business Specialist

Director of Research

Business Director

IT Researcher Marketing

ConclusionA risk-free business is impossible.

However, “risk-free” risk models may be not.

Team experienced in the sector & prototype

Product quickly in market & changes the market

Market hundred millions & growing – BASEL III

Competition manageable

Low capital requirements

high growth and value potential