What the fraud stack sees
Everything looks legitimate
Device ✓ Session ✓ Identity ✓ Authorization ✓ — and yet the customer is being scammed in real time.
Know Your Recipient Intent
KYRi™ is an autonomous AI agent that investigates the recipient risk of every payment — reasoning across signals, gathering evidence, and returning a risk verdict before funds move. No rule trees. No vendor stack. No human in the loop.
01 · Agentic
An autonomous AI agent — investigates, reasons, decides.
02 · Recipient-first
Scores the recipient's risk, not just the sender's behavior, and intervenes to verify their intent.
03 · Pre-settlement
Returns a verdict before money moves — while funds are recoverable.
The Problem
In an authorized push payment scam, the sender is the legitimate account holder. Real device. Real credentials. Real authorization. Every fraud signal is clean — and the money is gone.
Existing tools ask who logged in. None can prove whether the recipient should actually receive the funds. That's the gap KYRi™ closes.
What the fraud stack sees
Device ✓ Session ✓ Identity ✓ Authorization ✓ — and yet the customer is being scammed in real time.
The Missing Question
No existing solution asks this. KYRi™ does — verifying recipient identity and intent before the payment settles, in real time.
Scam types KYRi™ detects
The Result

For the first time, customers can trust that even if they're manipulated into initiating a transfer, the bank has a backstop. KYRi™ verifies the other side of the transaction — so a momentary lapse doesn't turn into a financial disaster.
Scammers rely on the recipient side being invisible to banks. KYRi™ eliminates that invisibility. For the first time, anomalous recipient behavior is a signal — and fraudsters have nowhere to hide.
We're partnering with a small group of banks and fintechs to operate KYRi™ in production. Founding partners get a dedicated integration team, direct input on the agent's reasoning, and live recipient-risk signals on their own payment rails within weeks.
Frequently Asked Questions