GaussMathematics

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.ai

Start with a focused pilot.

Pilot scope is adapted to the model objective, environment access, rights, and delivery requirements.

01

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
02

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
03

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

Use this form for non-confidential scoping. Do not include secrets, credentials, or unreleased assets. See Privacy for how inquiries are handled.