We help train frontier robot models
for the real world.
Our proprietary camera creates the unique real-world datasets these models learn from.
Published results on the models the field is building on.
We benchmark our data on leading public foundation and robot models. The gains are measured and reproducible.
2.19× improvement fine-tuning GR00T N1.6 on dual-stream egocentric data (retail manipulation). SABER · 44.8K samples · 91% fridge success.
66.6% error reduction fine-tuning Cosmos-Reason2-2B to state-of-the-art on physical AI benchmarks. PRISM · 270K samples · 5× reasoning.
Data you can't get anywhere else — because we built the camera.
Our results come from a capture system nobody else has: single-shot omnidirectional 3D optics, eight years in production, protected by 32+ patents. The moat is the optics; every dataset inherits it.
Dual-stream capture
Synchronized 360° exocentric + egocentric in a single pass.
Single-shot 360° stereo
Optical design published at CVPR 2016.
8 years in production
Real-world failure modes already engineered out.
32+ patents
A decade of protected optical IP; the platform is the moat.
Real-world 3D data is the scarce apex of physical AI.
Today’s models train on internet 2D video, simulation, or narrow lab capture — each leaves a gap. Simulation quality is bounded by the real data feeding it. Our omnidirectional 3D platform captures the layer the others can’t reach, and widens the apex.
The same gap caps world models — their realism is bounded by the real-world data behind them.
One pipeline — from real-world capture to VLA/VLM-ready data.
Capture
Synchronized Alia 360° + GoPro dual-stream in real environments
Annotate
AI-assisted (SAM2, Grounding DINO) + human QA — 10× faster
Reconstruct
3D Gaussian Splatting creates photorealistic scenes
Convert (USD)
Automated USD export with physics for any USD-compatible simulator
Simulate
1,000+ frames/hour with domain randomization
Train
Ready for VLA and VLM fine-tuning
Ways to work with us.
For teams building VLA, VLM, and world models.
Common questions
What is DreamVu?
DreamVu is a physical AI research lab whose proprietary camera creates the unique real-world datasets that train frontier robot models.
What datasets does DreamVu provide?
PRISM, a vision-language dataset, and SABER, a vision-language-action dataset, both captured with DreamVu's omnidirectional 3D camera platform.
How is DreamVu's data captured?
With a proprietary single-shot omnidirectional 3D camera, protected by 32+ patents and hardened over eight years in production.
Who is DreamVu's data for?
Teams building robot foundation models (VLA), vision-language models (VLM), and world models — anyone whose system has to understand or act in the physical world.
Building physical AI? Let's partner.
Whether you're training humanoids, building world models, or shipping enterprise robotics — we'll lift your real-world outcomes.