Tell us what your model needs to learn.
Share the environment, behavior, failure mode, or data engine you are trying to build. We’ll respond with a focused way to scope the program.
Making a dot in the universe.
madiu@gaussmathematics.aiStart with a focused pilot.
Pilot scope is adapted to the model objective, environment access, rights, and delivery requirements.
Evaluation World Pilot
For: Coding agents, text-to-game systems, multimodal agents, and executable-world evaluation.
Typical scope
- · 10–25 executable worlds
- · specifications
- · runtime-state interfaces
- · behavioral contracts
- · automated verification
- · human playability review
Action-State Data Pilot
For: World models, action-conditioned video, spatial intelligence, and agent post-training.
Typical scope
- · one authorized environment
- · defined tasks and actions
- · synchronized video, action, camera, state, and events
- · training and evaluation split
- · schema and QA report
Virtual Asset Pilot
For: 3D foundation models, generative worlds, simulation, and spatial intelligence.
Typical scope
- · one defined asset category
- · normalized formats
- · metadata and captions
- · provenance
- · validation report
- · duplicate analysis