Odyssey 3

Odyssey 3: Odyssey-3 is a foundation world model that predicts how objects move and interact through space in real time.

Odyssey-3 is a learned dynamical system implemented as an autoregressive diffusion transformer. It predicts how objects move and interact through space and how situations evolve over time. Developed for physical AI developers, researchers, and autonomous system builders, it learns physics, dynamics, and cause-and-effect from internet video, gameplay recordings, and simulated interactions. The model generates embodied environments in real time from prompts and responds to user actions or events. It achieves state-of-the-art performance on Physics-IQ Verified benchmarks and adapts to physical systems like robot arms, humanoids, and vehicles.

Odyssey 3 at a glance

Best for: Software engineer, Researcher
Runs on: Web, API
Pricing: Paid
Released: September 2026
Category: AI video tool
Website: odyssey.systems

Key features

Generates embodied environments in real time
Predicts object movement and physical interactions
Supports first-person and third-person navigation
Adapts to physical systems via action decoders
Generates multi-sensor observation data
Learns from internet video and gameplay recordings

Use it for

Controlling robot arms for manipulation tasks
Powering humanoid robot control policies
Driving vehicles autonomously on real roads
Training AI agents in generated environments

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Eclatira — Connects voice and video AI agents to APIs and apps without custom integration code.
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