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Industry knowledge. Agent capability.

Gaia turns industry knowledge into environments where AI agents learn real work, connecting software partners to new capabilities and data-licensing opportunities.

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FROM WORK TO CAPABILITYPVG / FIELD STUDY
Capture decisions, tools, and context with industry experts.

A record tells you what happened.
An environment lets you try it.

A completed work order might tell you which part fixed a fault. It rarely tells you everything a technician knew, which options were available, or why another repair would have failed.

Building a useful training environment means reconstructing that context. An agent needs tools it can use, rules it must respect, and a way to check its answer. A pile of exported records is only a starting point.

Gaia brings that work into one process: prepare source material, recreate a task, evaluate attempts, and use failures to guide further training.

HOW WE BUILD

From workflow to a tested agent

  1. 01

    Choose a job worth doing

    Work with people who know it. Identify inputs, decisions, exceptions, and a result they would accept.

  2. 02

    Build a controlled environment

    Recreate relevant records, tools, and business rules. Separate training work from live customer systems.

  3. 03

    Make success measurable

    Use checks that reflect actual work: a balanced reconciliation, a feasible schedule, a correctly resolved exception. Keep separate tasks for evaluation.

  4. 04

    Train, then examine failures

    Compare against a starting model and simpler approaches. Inspect mistakes rather than relying on one aggregate score.

  5. 05

    Put results to use

    For partners, decide whether an agent is ready for a limited deployment. For buyers, package suitable data, environments, and evaluations under agreed rights.

One workflow
Two uses

Agents for industry software

Bring agents trained on industry work back to people who do it. Your team reviews performance and decides how to deploy, alongside existing software or through an integration you approve.

Partner with us

Training material for AI teams

License approved data and environments to model developers, AI product teams, and enterprises. Ongoing buyer agreements can generate recurring licensing revenue, shared with software partners on agreed terms.

For AI teams

Proof before deployment

Review what was tested, what improved, what still fails, and where human review remains necessary. Compare performance against a baseline before deciding how to deploy.

Scope, access, and delivery requirements are agreed for each engagement.