Visko Orbis is a real-time, steerable 4K video generation model built for creators, game studios, and roboticists who need long, interactive clips that respond to commands mid-run. Released by Sunnyvale startup Visko Platform Inc. on September 1, 2026, it streams worlds continuously instead of rendering a fixed clip and then stopping. The 16-person team draws from Apple, Google DeepMind, Meta, Amazon, and Tesla, and the company raised a $10 million pre-seed round led by Llama Ventures.
Core Features
- Live 4K streaming at 24 frames per second with no quality or color drift across hour-scale generation.
- Interruption-ready generation: change the prompt at any moment and the world updates around it instead of restarting.
- Physics-grounded motion via a latent world model that scores candidate futures during inference, steering output toward plausible dynamics.
- Persistent memory built on neural stochastic differential equations keeps characters and scenes consistent over long runs.
- Public browser access at visko.ai with no install, plus a technical report benchmarking DOVER and VideoAlign quality.
Use Cases
- Interactive robotic training footage that is unsafe or expensive to stage with physical hardware.
- Long-form cinematic previsualization where a director wants to steer a scene live.
- Simulation and world-model research that needs stable, multi-hour video output.
Pricing
Orbis is free to try in the browser at visko.ai, with public access opened on September 1, 2026. Visko raised a $10 million pre-seed round led by Llama Ventures to fund compute, and the company has not published a paid consumer tier yet; enterprise and API pricing is expected to follow as usage scales.
Our Take
Best for researchers and studios who need controllable, hour-long video rather than a 10-second clip. The trade-off is that Orbis still trails offline models on fine-grained action detail, and you are tied to Visko's cloud while the open-weight question stays unanswered. For most social short-form needs, a clip model like Runway or Kling remains simpler.
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