Your model will face a model-risk review

For banks, funds, insurers & fintechs

When compliance asks “how do you know the numbers are right?”, a demo is not an answer. We build a deterministic test suite for your calculations, run it against analytically computed ground truth, and deliver a written report your model-governance file can cite.

Request an evaluation — from $2,500 →

Most AI governance vendors in this space (Credo AI, Monitaur, ValidMind, Holistic AI) are enterprise-only, quote-on-request, bundled with advisory retainers. Ours is posted. See it before you talk to us.

Frameworks covered
SR 11-7 · SR 26-2 · EU AI Act · FINRA — every engagement maps findings to the regime you actually answer to.
Finance employers — GitLab, Oliver Wyman, JPMorganChase, Gemini among them — are already hiring for Claude and AI skills directly. See the roles →
01 · Validation
Independent AI Model Validation

A deterministic test suite built for your specific calculations, with documented pass criteria and reproducible results — formatted for regulatory review.

  • ✓ Written report mapped to SR 11-7 & SR 26-2
  • ✓ EU AI Act traceability annex
  • ✓ Tolerance & edge-case analysis
  • ✓ Private — results are yours
from $2,500 · fixed scope
Request an evaluation →
02 · Deployment
Private MCP Deployment

Run our finance tools inside your own environment — no data leaves your perimeter. Built for firms whose security policy rules out shared infrastructure.

  • ✓ Self-hosted or your VPC
  • ✓ Custom tools for your models
  • ✓ SSO & audit logging
  • ✓ Eval suite runs in your environment
Scoped per engagement
Get a quote →
03 · API
High-Volume API Access

The same finance tools behind a metered API for your own products — valuation, risk, filings and accounting endpoints.

  • ✓ 10,000 calls/day on Pro
  • ✓ Uptime commitments
  • ✓ Published eval scores per endpoint
  • Integration docs →
from $49/mo · see all plans →
View pricing →

Why an independent evaluator

Most AI finance tools ship on judgment: prompt the model, read the output, release it if it looks right. That works until someone asks for evidence. A DCF discount rate wrong by 80 basis points moves the implied share price 8–12%. A misapplied ASC 842 present value is a restatement.

We publish our own results before asking anyone to trust us — every tool and MCP server on this site is scored in public, pass or fail. See the benchmark →

Only 25% of finance teams report AI "fully integrated" across their firm — the top-cited blocker isn't the tools, it's not being able to verify where an answer actually came from. That's the gap this service closes.

What regulators expect
  • SR 11-7 — documented validation with defined pass criteria
  • SR 26-2 — documentation for GenAI tools outside formal validation
  • EU AI Act — traceability for high-risk AI; Annex III deadline extended to Dec 2027, GPAI/transparency duties still live now
  • FINRA — hallucinations named an explicit governance requirement
How an engagement works
1 · Tell us about the tool
Two-minute form. No documents needed yet.
2 · Scoping call
30 minutes, within one business day.
3 · Fixed quote
Nothing is billed unless you accept it.
Free, no engagement required
6 AI Governance Checklists — SR 11-7, EU AI Act, NAIC, UK PRA, CFPB, Agentic AI

One checklist per regime plus one for agent identity and audit trail — banking, insurance, consumer credit, and AI agents, mapped to what an examiner actually expects to see.

Browse checklists →
Also explore Pricing MCP Certification Finance Skills MCP Servers Finance Guides Security & Compliance
Start with a scoping call

Describe what you’ve built and which regime you answer to. We’ll tell you what a defensible evaluation looks like for it — and what it costs — before you commit to anything.

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