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Turn an OpenAPI definition or MCP server into a focused set of actions an agent can use.

We research, experiment and productize the building blocks
that make agentic products easier for everyone to build and run.
After 15 years of building with emerging technologies, we have learned that good ideas rarely arrive fully formed. You build a first version, put it in front of people and pay attention to where it helps and where it breaks. That feedback shapes what comes next.
We bring that approach to our experiments and client work. We start with a real problem, use proven models and infrastructure, then focus on what is still missing between them and a product people can use.
Inside the lab, when an idea keeps proving useful, we develop it into technology other builders can use.
Turn an OpenAPI definition or MCP server into a focused set of actions an agent can use.
Give agents structured state they can create, update and retrieve across runs.
Run agent code and commands in a remote environment with a defined security boundary.
Start and coordinate agent work based on schedules, business events or completed runs.
Publish one product endpoint for a selected set of models and tools.
Turn model, tool and infrastructure costs into credits and pricing your product can use.
Trace an agent run across model calls, tool use and retries.
Keep company records available to agents in a permission-aware format they can retrieve.
Choose a model for each request using explicit rules for capability, cost, speed, and reliability.
Capture outcomes and human feedback from agent runs. Feed what works back into prompts, policies, and routing.
We work with builders facing problems the usual tools do not solve cleanly.
Tell us what you are trying to build and where the current stack falls short.