Where every number has to reconcile.
An AI operating system for fintech — automation that earns its place inside audit trails and compliance scrutiny, not around them.
Financial software rewards teams that respect its constraints: auditability, reconciliation, regulatory reporting. We build the AI operating system that survives those constraints — document processing for KYC onboarding, fraud and risk triage that focuses analyst attention, compliant support agents with hard guardrails, and analyst copilots that cite their sources instead of inventing them. Built on wallets, lending platforms, and KYC flows we've shipped and reconciled ourselves.
Part of
Fintech & Financial Services is one vertical view of a single system. The layer underneath — retrieval, scoped permissions, evaluation, and the audit trail — is the same one we build in every sector.
Where AI earns its keep.
The workflows in fintech & financial services where AI does real work today — not a someday roadmap, the jobs it can take off your plate now.
KYC & document automation
Intelligent document processing for onboarding — faster approvals with full audit trails.
Fraud & risk triage
AI-assisted case prioritization that focuses analyst attention where it matters.
Compliant support automation
Customer service agents with strict scope, escalation rules, and complete logs.
Analyst copilots
Grounded retrieval over policies, filings, and account data — cited, never invented.
Don’t take our word. Take the call.
3 of the agents above, live in your browser right now. Pick the job you actually need covered, press call, and talk to it the way your customers would — objections included.
A real call, not a recording. Press call once, then just talk — it hears you stop and answers. No buttons to hold.
This browser can’t capture speech — you can still type your side of the call. Chrome, Edge, or Safari for the full thing.
Live agents on fictional businesses and invented records. Nothing you say or paste here is recorded or stored — it lives in this tab and dies with it. A production deployment runs on your data, your systems, and your policy.
A KYC document, from upload to audit trail
Not a feature list — the mechanism, step by step, from trigger to logged outcome.
Extract
OCR and field extraction pull the required KYC data off whatever the applicant submits — a passport scan, a utility bill, a bank statement — into a structured record.
Screen
The extracted identity is checked against sanctions and watchlist data and your own risk rules. Clean matches move on; anything ambiguous is flagged with the specific field that triggered it, not a generic 'review this.'
Decide
Clean cases auto-approve. Flagged cases route to an analyst with the discrepancy already surfaced — the model narrows the review, it doesn't make the call on anything it wasn't scoped to decide.
Log
Every extraction, screen, and decision — model version, confidence score, and the human override if there was one — writes to an audit trail built for the regulator, not just the applicant's file.
Work in fintech & financial services.
Concordia Colleges — 150-Branch SIS Platform
A complete Student Information System for a network of 150+ college branches: revenue and royalty management, fees, LMS, student and teacher operations, payroll, and accounts — unified on one platform.
Veritas AI — Real-Time Fraud Detection SaaS
An AI-powered fraud detection system delivered as a multi-tenant SaaS: a real-time detection API with machine-learning behavior and anomaly models, an enterprise analytics dashboard, and Stripe/PayPal subscription billing.
PayOrch — Payment Orchestration Dashboard
A payment orchestration platform: multi-currency wallets and balances, provider and merchant management, platform fees, FX rates, and risk & fraud controls — monitored from one real-time super-admin dashboard.
Every figure has a name behind it.
No rounded-up vanity metrics — each number below is tied to a specific, named engagement you can open and read.
Tell us which part of fintech & financial services is the bottleneck.
Built for the rules of your industry.
Services that fit this industry.
What it plugs into.
An AI operating system only earns that name if it runs inside the systems you already have — not beside them.
Asked before the contract, not after.
It shouldn't be making the decision alone in the first place — the design puts the model in the extract-and-flag role and an analyst on anything ambiguous, with the specific field that triggered the flag already surfaced. When something does slip through, the audit log shows exactly what the model saw, what it scored, and who signed off, so the fix is a rule change, not a guess.
That's the constraint we design to first, not retrofit after: every extraction, screen, and decision logs with a model version and confidence score, and the fraud/risk models are built to be explainable to an examiner, not just accurate on a test set.
Let's put AI to work in your business.
A 30-minute call. You bring the workflow or the roadmap — we'll tell you what's feasible, what it costs, and what we'd build first.