AI agents that take real actions inside your systems.
We build agents that read data, call APIs, and make decisions on a schedule or an event, with a full audit trail behind them. Agentic coding is also part of our own delivery pipeline, which is why a small senior team ships at the pace of a much larger one.
What we deliver
→Tool-using agents wired into your ERP, CRM, ticketing, and internal APIs.
→MCP servers that expose your own systems to Claude, ChatGPT, and in-house assistants.
→Retrieval over your documents and databases — grounded answers, cited sources, no hallucinated policy.
→Evals, guardrails, cost ceilings, and human-in-the-loop approval on anything irreversible.
→Copilots, semantic search, and document processing around the agents.
Claude & OpenAI APIsModel Context ProtocolSelf-hosted open modelsVector & hybrid searchEval harnessesObservability & cost caps
Frequently asked questions
What is the difference between an AI agent and a chatbot?
A chatbot answers questions. An agent takes actions: it reads your systems, calls your APIs, and completes tasks on a schedule or in response to events, with permissions scoped to what it is allowed to touch.
How do you keep agents safe in production?
Scoped permissions, audit logs, evals before release, cost ceilings, and human approval on anything irreversible. Humans own architecture, security, and the merge button.
Which models do you work with?
Claude and OpenAI APIs, as well as self-hosted open models when data must stay on your infrastructure.