AI You Can Trust to Customers
AI in fintech, health, automotive safety, and other regulated domains has one non-negotiable: humans stay in the loop on decisions that matter. We design AI products around that — agentic systems that propose, never decide, when the stakes are high.
An agentic finance and trading product inside a regulated investment advisory context. Agents read portfolio and market context, surface risks, and propose actions for advisor review. Every action and reasoning step is logged for regulator-grade audit. The same pattern generalizes from finance to health to automotive safety.
What we build
Human-in-the-loop product design — Patterns for AI assistants that explain reasoning, flag risks, and surface decisions for human approval before any state change.
Guardrails & evals — Real-time guardrails that intercept unsafe inputs and outputs, plus continuous evals that catch grounding, safety, and quality regressions before users do.
Auditability & compliance — Logging AI decisions, deterministic replay, full audit trails. HMAC-signed broker webhook relays.
Safety-critical update mechanisms — Uptane / TUF threshold signatures, multi-key separation, attack detection.
Regulated-domain experience — SEC-registered investment advisory; computational biology; automotive safety; OEM-scale identity.