AxiomSet Labs creates and verifies expert STEM data for advanced AI systems that need to reason through challenging problems. Its work focuses on mathematics, physics, and scientific code, with a founder-led approach and specialist capacity added when appropriate expertise and review are confirmed. Services include producing original datasets with verified solutions, tests, and structured metadata; designing benchmarks, scoring rubrics, difficulty calibration, and model-failure taxonomies; and assessing dataset quality through technical review, execution checks, deduplication, provenance, and release-readiness documentation.

The company’s methodology begins by defining a target capability and acceptance criteria, then moves through expert authorship, executable and numerical verification, technical review, and documentation of environments and limitations. A public scientific-code sample includes 30 tasks across mathematics, physics, chemistry, materials science, and biology. AxiomSet Labs offers focused pilots for organizations seeking difficult STEM data, with scope shaped around the required expertise and review depth. Its stated areas of initial focus are mathematics, physics, and scientific code, while potential expansion depends on confirmed discipline-specific specialists.