Practitioners author
Real asks, real documents, real judgement calls, from people who do the work every day.
Lometa turns senior practitioners' judgement into realistic, verified environments, so AI agents learn the job, not the demo.
Writes the task from real work
“Close Q3 accruals. Split anything approved across quarters.”
Agent enters a live company
Real work runs on incomplete records, unwritten rules and judgement calls. We put that into the environments models train on.
Real asks, real documents, real judgement calls, from people who do the work every day.
Systems that behave like ERP, GRC, procurement and the directory, messy data included.
Reference solutions, hidden expert rubrics, and pass rates set at your model's edge.
ERP, GRC, procurement, directory and chat, with real API behaviour.
Placeholders, look-alikes and records that disagree.
Colleagues who answer only what they're asked.
Expert criteria the agent never sees.
Scored on outcomes and system state, not wording.
Ships for Harbor, OpenEnv, Inspect and verifiers.
Starting with finance and enterprise operations, then every field where judgement decides the outcome.
Close, controls, payables, revenue, treasury and audit.
Architecture, reliability and engineering judgement.
Contracts, regulation, privacy and compliance work.
Fleet operations, charging and deployment decisions.
Campaign operations, measurement and brand.
Incident response, risk and continuity.
Construction, facilities and energy systems.
Product design, prototyping and manufacturability.
Turn the calls you make every day into the environments that teach AI agents. Paid, flexible, project by project.
Tell us what your agents need to learn. We will scope environments at your model's edge.
Tell us about your project and our team will follow up.