Identidata is a facial recognition platform that allows consumers to create a digital identity and use their face to access services. The platform aims to become a global consumer brand by offering strong identity verification. Consumers can create an account with basic data, a photo ID, and a 3-second verification video. Identidata will check the video, ID, and that the user is not in the database with a different identity. The company plans to develop the product further, increase automation, and market directly to consumers to build their user base. Their technology achieves 98.13% accuracy and the most advanced anti-spoofing capabilities.

1. Know your customers, one Face at a time
Alejandro Simkievich | Atilio Pasin | September 2017
https://identidata.io

2. Problem
Identity verification is as old as history itself
The need for strong identification in digital processes as well as the internet of
things will grow exponentially
Building silo facial databases where consumers are passive and do not have a
say IS NOT the solution

3. Our Approach
Identidata is a platform of digital identities based on facial recognition. Consumers can use
their unique facial ID to access useful services and companies can leverage a centralized
database to identify consumers and transact with customers.
To become a global consumer brand. A brand that consumers and businesses are familiar
with and tap into to solve their identification problems.
Ultimate
Goal
Strong
Premise
Vision
Strong identity verification at the time of account creation. The demands we are in a best
position to serve are those that require strict photo ID verification (access to rental car
services as opposed to unlocking one’s own car).

4. How it Works Today
Consumer creates account. As easy as 1-2-3.
1. Basic data 2. Photo ID 3. 3-sec video
We check that:
1. Video passes liveness test 2. Photo ID is legitimate 3. User does not exist in
database with different
identity
Consumers can use facial recognition to transact with companies, from their own website

5. Strategy: How to Reach our Goal
Phase 1 (2018): Further Develop Product and sell Sub-products
Pillar 1: Account
Creation
Pillar 2: Account
Login
Pillar 3: Liveness
Detection
Phase 2 (2019 onwards): Strong Inbound Marketing to reach Consumers
Increase automation through:
- Algorithms to capture better
photo ID pictures
- Optical Character Recognition
of Photo Ids
- Identity Background Checks
Further improve facial recognition
algorithm to better deal with:
- Occlusion (women with jihab, etc.)
- Extreme situations (lighting, contrast,
blurriness)
- Super-fast 1 to N identification
(finding a face in tens of millions)
Integration with compression
algorithms to capture higher
quality, low size videos
Further develop proprietary
anti-spoofing algorithms (key
to conquer many markets).
After product if fully developed and high levels of automation reached, open the gate for anyone to create a facial ID account. Define
marketing strategy to entice hundreds of thousands of consumers to create Identidata accounts.

6. Competitive Positioning
Completeness of Vision
Focusonfacial-recognitionidentification
AWS
Rekognition Jumio
Identidata
Oiti
AcessoCredDefense
Certibio

7. Possibilities
Book a hotel online
using your facial ID.
Check yourself in when
you walk into the hotel
Rent a car with your
facial ID. You do not
need to stop at the
rental counter. The car
knows who you are and
that your license is
valid.
Buy a movie ticket-less
access online. Go to the
theater without a ticket
Sell things online, let
customers pay with
their face. It will be
much harder for
fraudsters to steal your
access credentials.
Consumers
Companies
Stop scammers using
your company’s SIM
cards to commit fraud
Do not make visitors
stand in line. If you can
access their account,
they can walk
themselves in.
TELCORETAIL
HOSPITALITY ENTERTAINMENT TRAVEL
SECURITY

8. Traction
- Product Launch
- First paying customer: Celcoin
- Second paying customer: Zuum
- Discussing opportunities with big retailer, big bank, big credit card
processing company (Brazil), start-up working with biggest retailers
(India)
May 2017
June 2017
July 2017
September 2017
- Third paying customer: privyID (Indonesia)
August 2017

9. Technology
- Deep learning technology, 98.13% accuracy in well-documented test
- Most advanced anti-spoofing in existence
- Html, ios or android native
- Use your desktop, smartphone or even smart glasses
- Create an account or log in from our website or native app of your favorite company
- Access your personal data any time you want and decide whom you want to share
your data with

10. Team
Alejandro Simkievich (CEO)
Founders
Experience in Information Technology, Machine Learning, Deep Learning and
Computer Vision. Senior consulting experience in international projects with Fortune
500 companies. MIT alum.
Atilio Pasin (CFO) Senior banking executive with over 40 years of extensive experience in top banks
(Itau, Bilbao Vizcaya) in security related positions. Mathematics degree at USP and
BA at Mackenzie University.
Advisors
Rudi Fischer (Board
member)
Former Senior Vice-president at Banco Itau, reporting directly to CEO. MIT alum.
Yaniv Shaked (Advisor) Responsible for computer vision at Intuitive. Held computer vision responsibility in
companies like Samsung, and others. Israel Institute of Technology alum.
Juergen Salrein (APAC Head) Extensive experience as Information Technology executive reporting to country
managers in Fortune 500 Company and senior digital advisor. MBA at USC (Australia).

11. Finance
- Looking for USD 500K at a USD 2.5 MM pre-money valuation
- Considering planned burn-rate, funds should last at least 12-18 months
- Current customers will generate USD 10-100K of revenue per year, opportunities
being discussed are in the USD 100K – 1MM revenue range per year
Legal
- Delaware C Corporation owns the IP
- Brazilian subsidiary licenses and sells product in Brazil
- Identidata Trademark registered in the US and Brazil