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.
Read the method. Build on it.
The whitepapers carry the full method and numbers. The SDK and API let you put it to work.