Eatable AI is an applied AI lab. We build AI systems that companies can trust with real work, connected to their tools and measured on their own cases.
Frontier models arrive raw: powerful, uneven and hard to trust with real work. We prepare them for business. Every system we build is connected to your tools, grounded in your knowledge and tested on your own cases. It is served only when it is ready.
Agents that take on support, back-office and document work inside the systems you already use, with a person in the loop wherever judgment matters.
Assistants grounded in your documents, tickets and data. They answer with sources, and show each person only what they are allowed to see.
We bring coding agents such as Claude Code and Codex into engineering organizations, with the setup, conventions and training that make them part of everyday work.
Model selection, fine-tuning on your data and evaluation against your own cases, so every decision about a model rests on evidence rather than benchmarks.
01
We map the workflow, the data it touches and what success means in measurable terms.
02
We build a working version on your own data, so you judge results rather than slides.
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We connect it to your systems, set guardrails and access controls, and train the people who use it.
04
We watch quality and cost, and move you to better models as they are released.
A small team of engineers and applied researchers, remote across Asia and North America. We hire people who like owning a problem end to end.
All open rolesTell us what it is, who relies on it and what a good result looks like. Someone from our team will write back.