Production AI for neobanks, payment platforms, lending, and regulated fintech. Fraud detection at p95 latency banks expect, KYC document pipelines that pass regulator review, and an audit trail your compliance officer can put their name on.
We have shipped against this shape with neobanks, lending platforms, payment processors, and remittance corridors. The constraints repeat.
The fix is not a smarter model. The fix is the audit trail underneath it. Per-decision logging, regulator-defensible eval, and a deployment shape that fits the bank your platform is regulated as.
A fraud-detection false negative costs real money on the next transaction. A KYC false positive blocks a real customer's payday. The reliability bar is not 'good enough,' it is 'defensible in audit.'
Regulators ask: 'show me every input and every output for this customer for the last seven years.' Most LLM observability tools sample. That answer ends a license review.
KYC standards in Bangladesh, AML rules in the US, GDPR in the EU, MAS in Singapore. The architecture has to support country-level policy overrides, not a single global config.
Eight-week engagements, audit-grade by default, deployment shape your bank's security team can sign off on. Bundle two when the problem warrants.
Hybrid ML + LLM scoring on every transaction. Sub-100ms decisions, explainable to a compliance officer.
Identity document parsing, liveness signal capture, and address verification on a pipeline that passes regulator review.
Every input, every output, every decision logged with retention controls and per-customer redaction. Regulator-defensible by default.
AI advice that names what it does not know. Refusal patterns, source citation, and a regulator-readable eval suite.
Open-weights models inside the bank's VPC. Customer data never leaves the boundary, model selection still flexible.
One-week audit of your fintech-AI stack. Vector store, model provider, deployment shape, audit posture, country-policy overrides — all named in writing.
Most engagements bundle two: a build (01, 02) paired with the discipline that keeps it audit-defensible (04, 05). Bring the shape closest to your blocker.
Scope your engagement →Want to see the K-Framework discipline behind every item? Read the K-Framework.
Tooling that has already cleared SOC 2 and bank security reviews. Self-host where regulator requires, BAA / DPA-backed SaaS where acceptable.
The store, the index, the search
Embeddings, providers, fallbacks
The eval bar, the cost meter, the drift alarm
Type-safe everything
iOS + Android, native or cross
Whatever your infra already runs
Fraud decision round-trip target
Decisions logged with feature attribution
Stack default for production engagements
Country policy overrides supported
Eight weeks, fixed scope, eval suite + audit log at handoff. Direct LLM engineering on top of the K-Framework. Two Q3 slots remain.
