Execution is the research problem.
Frontier labs train models to answer. We train models to act: safely, on real infrastructure, with a human in the loop. Measured against the work, not a leaderboard of trivia.
Multimodal capture of real work: screens, documents, SCADA, and the field itself through the Frame SDK.
Confidence-scored reasoning over operations, calibrated against outcomes so the model knows when to defer.
Automated actions behind human-in-the-loop gates. The long arc runs to autonomous wells.
Scored on the work, not trivia.
A WCSB execution suite: real field, accounting, and regulatory tasks graded against operator-verified answers. Higher is better.
What we are working on.
How we quantify when a model should act, defer, or escalate to a human, and calibrate it against field outcomes.
Turning daily approvals and corrections from field engineers into a continuous alignment signal.
13B teacher, 3B student: keeping decline detection alive through satellite dropouts on an edge box.
Stripping names, coordinates, and volumes from a prompt while preserving the physics the frontier needs to solve.
Use the research direction. Prove the workflow.
Our blueprints show what a pilot should measure. Fleet Builder and the developer tools give you a place to start testing.