Decisions moving at the
speed of the market.
We embed with fraud, risk, compliance and client-facing teams — automating the volume, sharpening the judgment, and returning analysts to the trades that actually move the P&L.
Complexity is compounding
faster than headcount.
Attack patterns evolve hourly. Static rules and next-day investigations concede ground before an analyst opens the case.
Real-time graph and behavioral models score every transaction in single-digit milliseconds — with a reason a compliance officer can defend.
KYC, SAR, transaction monitoring and change-of-regulation reviews consume the very people paid to think.
AI agents draft, cite, redact and file — humans supervise exceptions. Auditable end-to-end, defensible to the letter.
Onboarding, servicing and advice still feel like the 2010s across most institutions — quietly leaking wallet share.
Advisory copilots and instant-onboarding agents deliver private-bank service quality at retail cost economics.
From a stubborn business problem
to a number on the board.
Fraud outpaces the rules engine written last quarter.
Graph, behavioral and transaction signals reasoned in real time.
Cases opened, evidence assembled, low-risk clearances auto-closed.
Losses down, analyst hours redeployed to the exceptions that matter.
Where AI shows up
on the ledger.
Measured across live production deployments in tier-1 banking, asset management and insurance — reported by the institutions themselves.
What it looks like
on the ground.
Real-time fraud & AML
Every transaction runs through a graph model that reasons across accounts, devices, merchants and behavioral history — flagged, scored and explained before the funds clear.
Fraud losses cut by more than half in one fiscal year.
We replaced a decade of static rules with a real-time graph and behavioral engine — deployed alongside the existing stack, tuned by the fraud team themselves, defensible to every regulator in the room.
Chosen by institutions that can't afford to be wrong.
Every engagement is co-led by former practitioners from banking, insurance and capital markets. They speak the language of the desk they're rebuilding.
Institution-grade tenancy, per-region residency, keys you own, audit trails your regulators can subpoena tomorrow morning.
Every model decision — approvals, denials, alerts, recommendations — arrives with a defensible reasoning trace. Regulators know it. So do your customers.
Model risk management, challenger model validation and continuous monitoring are engineered into the platform — not a downstream project.
We stay with the program past go-live. Model drift, adversary evolution and regulation are constants — we operate the platform alongside your teams.
Straight answers,
before the pitch.
Every model is documented under SR 11-7, benchmarked against a challenger, and monitored continuously for drift and performance decay. Your MRM team can validate independently at any time.
Inside your VPC, in your region of choice. We support tenancy in on-prem, hybrid and every major cloud. Sensitive fields never leave your perimeter — inference happens where your data already lives.
Yes. The platform is model-agnostic — bring your own risk, pricing or credit models alongside ours. Orchestration, monitoring and explainability apply uniformly.
Adversary telemetry, red-team simulations and continuous retraining are engineered into the operating model. Your fraud and cyber teams see the same signal we do, in real time.
Six to eight weeks to a live production loop — starting from a joint discovery, then a shadow-mode deployment against your own transaction stream before any decisioning goes live.
Put the desk
a step ahead.
A single conversation with our finance practice. No slides. No obligation. Just the frank read on where AI would earn its keep in your business.