AI agents that actually ship to production.
We design and build agentic systems for B2B teams — from single-workflow agents to multi-agent platforms — with the production engineering around them so they survive real traffic.
What we build
- →Single-purpose task agents (triage, drafting, research)
- →Multi-agent orchestration (planner + worker patterns)
- →Long-running agents with human-in-the-loop checkpoints
- →Tool-using agents bound to your APIs and data
- →Customer-facing copilots embedded in your product
- →Internal automation agents for ops, sales, and support
Stack we work in
- ·Anthropic Claude · OpenAI · Gemini · open-weights
- ·LangGraph · CrewAI · custom orchestrators
- ·Typed tool schemas (Pydantic AI, function calling)
- ·Postgres + pgvector for memory
- ·Langfuse · OpenTelemetry for tracing
- ·Modal · Vercel · Kubernetes for inference
How an engagement runs
01
Discovery & feasibility
Two-week structured discovery. Most workflows don't need an agent — we'll tell you which ones do.
02
Prototype the core loop
Start with one workflow, one agent, one eval suite. End-to-end before scaling out.
03
Tools, memory, guardrails
Bind to your data and systems. Add the safety boundaries that let you ship to real users.
04
Production + observability
Deploy behind feature flags. Tracing, evals, and cost telemetry from day one.
Have an agent project on the roadmap?
Tell us where you are — discovery, prototype, or already mid-build — and we'll come back with a clear next step.