Five capabilities, one practice.
Everything below is delivered as one system: what we design, we expect to evaluate, secure, deploy, and hand off.
Agentic systems
We design and build agent systems that carry real responsibility: multi-agent orchestration, tool use, memory, and human-in-the-loop control, on open interoperability standards including A2A and MCP. Architecture starts from the audit trail: who acted, on what authority, with what data. That discipline is what turns an impressive demo into a system your risk team will approve.
LLM & GenAI applications
Retrieval, copilots, document intelligence, and workflow automation on commercial and open-weight frontier models. We select models per task and benchmark the choice rather than assume it, and we keep the seams clean so the system outlives any single vendor, pricing change, or deprecation notice.
Evals, safety & security
An agent you cannot evaluate is an agent you cannot ship. We build evaluation harnesses tied to your actual workflows, red-team systems against the failure modes our own research studies, and wire guardrails that hold in production. The approach is grounded in published work on agent security.
Production deployment
Deployment on your cloud, inside your security perimeter: observability built for nondeterministic systems, cost and latency engineering, staged rollout gates, and the governance evidence your security review will ask for. The engagement ends with your team running the system, not with a dependency on ours.
AI strategy
For teams deciding what to build at all: roadmaps, build-versus-buy analysis, and readiness assessments. The advice comes from people who build and operate these systems, and every recommendation ships with the evidence behind it.