AI is only as good as the data beneath it.
We build both.
We build owned AI infrastructure for companies whose advantage lives in their information: source graphs, agent runtimes, MCP tools, eval harnesses, and closed loops that move from pilot to production.
Anthropic, OpenAI, Mistral, local, or private. The architecture belongs to you, not to a rented black box.
Agents that execute workflows, call tools, keep state, request human approval, and leave traces you can audit.
We test every prompt, model, workflow, and retrieval change against speed, cost, memory, and quality thresholds.
One owned foundation. Different industries. In production.
The same stack — data foundations, agent runtimes, evals, and closed loops — runs across unrelated industries in production. We build the foundation once; every deployment makes it sharper.
From frameworks to cloud, to data, to AI.
Each era demanded a different substrate — frameworks, cloud, data, agents. We stayed close to the metal and kept shipping systems that had to work after launch.
- 012003Frameworks
- 022010Mobile + commerce
- 032015Cloud + modern web
- 042018Data became the product
- 052023Agents + LLMs
- 062025Information AI · now