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Industry · Fintech

AI for the firms that ship regulated-finance software.

Your customer's procurement team asks for AI-feature evidence before they renew. We make the features reliable enough to act on, and produce that evidence as a byproduct of how the platform already runs.

Procurementcleared
Evalsstd + custom
Renewalevidenced

AI features that pass the buyer's procurement gate.

Every claim in the report traces back to source evidence, ownership, and the workflow decision it supports.

Valuefund next
Riskcontain now
Fluencytrain where work changed
At a glancePayments · lending · banking-ops · capital-markets · treasuryReliability in production is what the customer is buyingAIUC-1 readiness on AI featuresInherited SR 11-7 + NYDFS exposure, answeredProcurement evidence, not a separate project
What the work produced

Ships fast became ships reliably.

0%stated accuracy, up from ~60%
0%net revenue retention
0+customers clearing their own review

Representative AI-native finance platform, once the eval harness became the deploy gate.

One perimeter, five buyer shapes

We map the engagement to where your platform sits.

Payments

Fraud, FX, dispute

CTO, VP Engineering, CISO. Frequent AI-feature shipping.

Lending

Underwriting, collections

CTO, Chief Credit Officer. AI inside the credit policy.

Banking-ops

Multi-tenant platforms

CIO. Integration plus governance debt at scale.

Capital markets

Trading + post-trade

CTO, Head of Engineering. Regulator-accessible trails.

Treasury / CFO

Finance-team AI

CTO, Head of Product. Enterprise procurement scrutiny.

Where AI moves the needle

Five fintech workstreams, one evidence pipeline.

01

In-product feature evals

Standard and custom evals on the AI features you ship.

02

Customer-facing attestations

AIUC-1 readiness, model-risk docs, AI-policy disclosure.

03

Customer-driven model risk

Your customers' SR 11-7 and NYDFS exposure, answered.

04

Internal AI tooling

Vibe-coding governance, enterprise chatbot, search.

05

Vendor model governance

Third-party model evaluation inside your feature stack.

Demo vs ships

A demo that works is not a feature that ships.

BeforeWith TrustEvals
The gateA demo that worksA feature that ships under model-risk policy
EvidenceA separate compliance projectA byproduct of how the platform already runs
The renewalStalls in procurementClears with the evidence pack attached
Frequently asked

Direct answers.

The first assessment and a Standard Evals engagement are sized for a single-feature footprint. Governance and AI-policy work scales when enterprise customers start asking for attestations.

Specialist AI builder, across the board

One builder, across the board.

We take your AI from strategy to outcome, with governance, audit, and evals built into every build. Start with a discovery call, or a quick audit.