We refine the data that agents can't afford to get wrong.
The AI Need started as an internal tool for cleaning up messy, inconsistent datasets before feeding them to language models. We kept hitting the same problem: raw data is full of ambiguity, and ambiguity breaks agents. So we built a refinery for it — and opened it up as an API.
What we believe
Precision over volume
We would rather ship one thousand records that validate cleanly than a million that don't. Every endpoint is schema-checked before it reaches an agent.
One reference frame
Raw sources disagree on units, calendars, and encodings. We normalize everything to a single, documented reference frame so downstream logic never has to guess.
Built for machines first
Our primary consumer is an LLM or agent, not a human reading a dashboard. That means deterministic output, stable schemas, and no surprise formatting changes.
Where we're at
We're a small, remote-first team building the refinery pipeline, the API surface, and the MCP server that ships with it. We're currently in early access — reach out at ask@theaineed.com if you want to talk to us directly.