Forward-deployed AI engineering · Regulated mid-market
We embed inside your operation, deploy AI agents with audit-ready governance, and stay until they run your real workflows — safely.
Multi-lab by design — we build on Anthropic, OpenAI and Google models across AWS and Google Cloud
Engineering leadership with a background in global payments and banking systems
Methodology aligned with NIST AI RMF, ISO/IEC 42001 and OWASP LLM Top 10
Most companies have the models. Almost none have them in production. The difference is deployment — and governance your auditor will accept.
Our engineers work inside your operation, against your real systems, alongside your team.
Every agent ships with guardrails: human approval, spend ceilings, auditable logs and a kill-switch. Ready for your regulator, not just the demo.
Production with a business metric, not a pilot. We only call it done when it decides something real every day.
Fintech, insurtech and healthtech mid-market teams that need AI to work and to pass scrutiny.
We run our own operations on the same agent platform we deploy for clients — every guardrail we recommend is one we use in production ourselves.
AI Production Sprint — 4 to 6 weeks, one real workflow in production with full governance.
Embedded retainer — ongoing forward-deployed engineering as your AI operation grows.
Pricing by proposal. We do not audit systems we deployed — independence matters.
Methodology aligned with NIST AI RMF, ISO/IEC 42001 and OWASP LLM Top 10.