AI video & UGC
Exploring more affordable, controllable visual storytelling.
We are building video foundation models to make visual generation an everyday AI capability.
Explore our research
01 / Research
A different scaling direction
Video can be a medium for thinking, creating, and interacting. To become part of everyday life, it needs to be affordable, consistent, and controllable.
Our research explores a different balance: scale logic up. Scale vision down. A simple ambition for a new generation of visual intelligence.
100× lower generation cost
$1 per hour of generated video
Research goals, paired with Seedance 2.0 visual quality and stronger consistency, physics, and shot control. These are targets, not current pricing or measured production results.
A different balance
Scale logic up.
Scale vision down.
02 / Explorations
Recorded research prototypes
From stories and games to software and physical interaction, we are exploring where visual generation can become useful.
These recorded prototypes illustrate research and application directions. They are not released products or performance benchmarks.
Exploring more affordable, controllable visual storytelling.
Exploring worlds that respond to player actions.
Exploring visual interfaces that adapt to a task.
Exploring visual predictions and physical interaction.
03 / Team
Experience across the visual frontier
Our team brings experience building video foundation models, training world models, pioneering 3D generation, and turning real-time video research into a company acquired by Roblox.
Research and engineering come together across data, model architecture, pre-training, post-training, infrastructure, and agentic workflows.
Selected prior experience
Video foundation models
Genie & Veo training
Early model research
Real-time video acquisition
Research recognition
01 / Foundation models
Experience founding Adobe’s video model team, co-leading DeepMind Genie and Veo training, and first-authoring the Seedance prototype.
02 / Interactive worlds
Built a real-time video startup acquired by Roblox, connecting world-model research with interactive systems.
03 / 3D generation
Created large reconstruction models that helped establish modern feedforward 3D generation, including LRM and GS-LRM.
04 / Training systems
Prior experience scaling foundation-model training and infrastructure at approximately 10,000-GPU scale.
05 / Full stack
Capabilities across data, multimodal pre-training, post-training, efficient systems, and agentic research workflows.
04 / Journal
Questions guiding our work
Build with us
We would love to hear from researchers and builders exploring what everyday visual intelligence could become.
Get in touch