TrustGraph_Pitch_2026_EN

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TrustGraph
A trust assessment algorithm
for bank transfers

2.

01 PROBLEM
An ordinary transfer.
The money goes
to a fraudster.
The customer confirmed the transfer
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02 SOLUTION
Trust assessment before execution
Behavior + connections
TrustGraph
Allow
Confirm
Review
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03 MARKET
Banks
TAM
Banks and payment
organizations
SAM
Banks in Georgia
SOM
1 pilot and paid deployment
Target for the first 2–3 years
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04 TARGET SEGMENT
First potential partner
National Bank
of Georgia
Complementing existing checks
Next: banks in Georgia
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05 BUSINESS MODEL
Partnership model
Algorithm
Joint refinement
Optimization
Partnership pricing to be agreed
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06 COMPETITION
Comparison before deployment
Feedzai
StrongHold
Quantexa
TrustGraph: a focused experiment
TrustGraph
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07 VALIDATION
We spoke
with banking
professionals
Manual checks
Hypothesis: automation
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08 TECHNOLOGY
MVP: algorithm and simulation
6
months
Integration target*
Python / graph analysis / observation mode
*Subject to resource availability and access to the bank’s system
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09 TEAM
TrustGraph team
ZORIN IVAN
IAROSLAV VLASIUK
RUDKOVSKII MAKSIM
Technical foundation
TrustGraph
Threat awareness
Development plan
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10 THE ASK
What we need
Partnership
Launch environment
Mentorship
Infrastructure
and a laboratory
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