AI product engineering
Production architecture for agentic applications, retrieval, tool use, model routing, durable workflows, and the integrations that make them useful.
We design, attack, evaluate, and ship consequential AI systems for leaders who need more than a convincing prototype.
When software can plan, choose tools, spend resources, and act on someone’s behalf, every abstraction becomes a trust boundary. We help teams make those boundaries explicit, testable, and resilient.
How we workProduction architecture for agentic applications, retrieval, tool use, model routing, durable workflows, and the integrations that make them useful.
Threat modeling, adversarial testing, red teaming, permissions, control design, and operational defenses for systems that reason and act.
Curated datasets, scenario evaluations, deterministic and LLM judges, failure taxonomies, regression gates, and measurable improvement loops.
Architecture direction, build-vs-buy decisions, platform strategy, executive counsel, and hands-on enablement for senior teams.
A local-first offensive-security and agent-evaluation lab for studying how models discover, validate, and communicate findings across long-running attack workflows.