Third Dimension AI
Third Dimension AI is a spatial-generation company building high-fidelity 3D worlds and simulation for embodied AI, autonomy, robotics, gaming, and entertainment. Its core product, SuperSim, models the world across the full fidelity spectrum - from real-world reconstruction of scenes captured from sensor data to open-ended generative simulation - so autonomy teams can validate, train, and deploy AI systems and close the simulation-to-reality domain gap without hand-built 3D art. Founded by Tolga Kart (CEO) and Piotr Sokolski (CTO), with Oxford professor Christian Rupprecht as Chief Researcher, the team draws on experience from Wayve, Tesla, Google, Luma AI, Nvidia, Niantic, Amazon, and Unity. The company raised $7 million and is backed by Felicis. As of this profile it exposes no public developer API, SDK, or documentation surface; enrichment captured its identity and probed its domain security posture.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles Third Dimension AI the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Third Dimension AI scores 9.3/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Third Dimension AI
Each block below is one kind of artifact we hold for Third Dimension AI. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Third Dimension AI — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Access & Security 1
Authentication, authorization, and security posture
Commercial 1
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
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