virtuoz - chatbots - pia - 2008

Executive Summary

V2.0.0 2008.03.06 Confidential VirtuOz SA

Social networks

Communicate

Plan

Manage

Buy

IM

Email

Voice

WebMy day = 24h

Social networks

Communicate

PlanManageBuy

IM

Email

VoiceW

eb

My day = 24h

VirtuOz will enable people to save timewith a personal intelligent assistant (PIA)

that manages their connected life

My PIA understands/predicts my needs…

Save time

Intelligence

Existing dataSocial networks profiles, emails,

applications

ExperienceFeedback from

previous interactions

Direct interactionswith meConversation

My ecosystem

My contextMy habits

…and executes online tasks on my behalf

Save time

Intelligence

My ecosystem

My contextMy habits

ExecutionIMing on my behalf Booking

ShoppingPlanning

…

One event > multiple tasks

Save time

Intelligence

Birthday invitation

My ecosystem

My contextMy habits

ExecutionIMing on my behalf Booking

ShoppingPlanning… books the ticket to get there

… check if I’m available

… receive the invitation

… help me choose the gift

… check who is going… tell them which train I take

… update my schedule… sync for the gift

Value proposition

Reduce by 50% my “stupid” online time(i.e. when my personal presence is unnecessary)

For 20~35 year-olds, hyperconnected young actives:

Save 10 minutes a day

Step 1 : Unique intelligent virtual agent technology

Technology FoundationVirtual Agent Platform

A expert team of engineers and scientists Linguistics (GUST Dependency grammar – Dr Kahane)

Machine learning (Genetic algorithms, Bayesian networks)

Unique technology (6 years)Well-trained algorithmsHuge amount of linguistic, semantic and pragmatic data

2002~

Step 2 : A successful virtual agent for customer care

Technology FoundationVirtual Agent Platform

Customer care virtual agent

Excellent product and ROI Virtual salesman increases sales +30%

Virtual assistant decreases support costs -50%

World-class customers

Top-3 websitesin France

2005~

Step 3 : Repeat business, virtual agents become personal

Technology FoundationVirtual Agent Platform

Key customers want “personal assistants” for their users

Pay-per-dialog business modelProfitable, strong revenue growth

2005 2006 2007

US$ 0.2M

US$ 0.6M

US$ 1.9M

Repeat business2007~

Customer care virtual agent

180,000+ members in 8 months without advertising

Skaaz Test

Technology FoundationVirtual Agent Platform

Customer care virtual agent

Next steps

Repeat business Skaaz Test

The product

My PIAIM, widget, email

Web console: settings, reporting

Mobile phone: IM, SMS, (voice)

My contacts

On my IM accounts On my profiles

Services management tool

ServicesImplemented

by VirtuOz

3rd- partyServices

(partners, users)

I need a velibAre you near Place Clichy?YesThe closest station is at Villiers.

Market environment

Exhaustive

Fullfills 360° needsVertical

Empathic

“Listing display”Each service in a silo

Vertical assistants

Search

Homepages

411 pages

NL Search

Social platforms

PersonalizedProactiveEasyUbiquitous (mobile)

Business model based on smart advertising

My PIA knows what I need when…… so he provides itPriority = user interest

Me: what’s up next week?

My PIA: dont’ forget you’ve Bob’s birthday in LA next Saturdayhere are a few resources you might find useful in LA:

Me: please book my flight

My Skaaz: here are the best options I found:

Sponsored contentFlowers Shops in Los AngelesNight entertainment in Los Angeles

Sources: Travelocity, Expedia, AAAA203 9:00pm $140 Book nowTU200 9:30pm $155 Book nowSW999 9:30pm $153 Visit website

Phase 1: Contextual ads

Phase 2: Commissions

Fast user acquisition owing to biz dev deals

IM networks (MSN, Y!, AIM, QQ…)

- 300M+ active users- Ongoing talks with MSN

Homepages (Netvibes, MyYahoo, iGoogle…)

- 100M+ active users- Starting talks with Netvibes

Who: Services with huge audience but low monetizationHow: They propose a PIA to their users. We share revenues.

Future milestones

2009

Customer care virtual agent

Repeat business

Launch PIA in US

2008 Complete PIA devSetup US ops

G&A24%

MKTG26%

OP10%

R&D40%

G&A19%

MKTG20%

MKTG_ACQ12%

OP17%

R&D32%

2008 2009

6M€ (2008: 1.7M€ ; 2009: 4.3M€)

Use of proceeds