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AI agent development

AI agents that finish real work, in production.

Demos are easy; agents that hold up with real users are not. We design the tools, retrieval, evaluations and guardrails that make agents reliable, then ship them inside your product.

What you get.

  • Agent and tool design for your workflows (including MCP servers)
  • Retrieval over your data with permission-aware access
  • Evaluation suites that run in CI before every release
  • Guardrails, human-in-the-loop review and cost controls
  • Tracing and observability for every agent run

How it runs.

  1. Station 1

    Pick the workflow

    Choose one workflow with clear success criteria and real volume.

  2. Station 2

    Build with evals

    Ship the agent with an evaluation set that measures it from day one.

  3. Station 3

    Operate

    Monitor, review failures and widen scope as the numbers earn it.

Questions? Answers.

Which models do you work with?

We are model-agnostic and choose per task, including Anthropic Claude, OpenAI and open-weight models, based on quality, latency, cost and data requirements.

How do you keep agents safe?

Scoped tools, least-privilege data access, evaluation gates in CI, human approval for risky actions, and full tracing so every decision can be audited.

Next: Go-to-market services

Next stop: a 30-minute call.

Tell us what you are building. A senior lead will tell you honestly what it takes to ship it and take it to market.