Video data for models
that act in the real world.
Humanoid robots, autonomous vehicles, and world models all need the same thing: massive, diverse video of real-world physics and human activity. We deliver continuous, task-targeted web video clips + metadata at petabyte scale.
Trusted by 75% of AI labs and 20,000+ companies
One data layer for every
physical AI modality.
Whether you're training a robot arm, a self-driving stack, or a foundation world model, the pipeline is the same: discover, extract, deliver.
Task-family targeted video of human manipulation, locomotion, and object interaction. Replace the teleoperation bottleneck with web-scale demonstrations that enable zero-shot generalization.
Diverse driving footage across geographies, weather conditions, and traffic scenarios. Edge cases your simulation fleet can't generate: construction zones, unmarked roads, emergency vehicles.
Rich video of real-world physics for training predictive models that understand how objects move, deform, and interact. The visual prior your world model needs to predict what happens next.
Need a custom scenario pipeline?
Talk to an expertDefine. Search. Extract.
Three steps from scenario definition to a pipeline-ready video stream.
Specify your target scenarios: task families for robotics, driving conditions for AV, or physical interactions for world models. We map your requirements to discovery filters across our 90 PB Web Archive.
Filter massive web-scale video archives by environment, lighting, camera angle, action type, and more. Surface high-quality demonstrations that match your exact training requirements.
Isolate relevant footage, extract action-specific scenes, and deliver pre-cut MP4 clips with structured metadata and precise timeframes — ready to plug into your training pipeline.
Continuous, targeted web video
for physical AI training.
Find moments before you download.
Visual indexing & High-granularity filtering to surface exactly the demonstrations, driving footage, or physical interactions your model needs.
Search and filter through massive web archives to find fresh video sources that match your specific scenario requirements.
Surface new sources through rich, filterable metadata including modality, environment type, camera angle, and domain context.
Pinpoint videos by specific conditions: "rainy highway merges", "low-light kitchens", "industrial assembly lines".
Web-scale video beats simulation.
Real-world footage provides the visual diversity and physics grounding that synthetic data and teleoperation cannot match, at a fraction of the cost.
Unmatched coverage across lighting, locations, weather, camera angles, and edge cases that simulation or teleoperation cannot generate at scale.
Focus on high-value scenes: manipulation tasks, driving scenarios, or physical interactions. Reduces noise in your training data.
Pre-cut MP4 clips delivered with structured metadata and precise timeframes. Drop directly into your training framework without preprocessing.
{ scenario_type, env_context,
camera_pov, actions[],
start_ms, end_ms, fps,
geo_region }
Continuous delivery at any throughput.
The infrastructure layer your physical AI team can rely on. Automated, compliant, and built for production-scale data ingestion.
Automated handling of HTTP 429 errors, blocks, and anti-bot flows to ensure continuous data delivery without interruption.
Fully compliant global access. Raw video + metadata delivered directly to your secure cloud. SOC 2 Type II certified.
Consistent schema for temporal alignment, coordinate normalization, and action segmentation out of the box.
75% of world's leading AI Labs use Bright Data
Talk to an expertReal-world video beats
every alternative.
Simulation has a domain gap. Teleoperation doesn't scale. Fleet data is narrow. Web-scale video gives your model the diversity it needs to generalize.
Expensive, slow to scale, and limited in diversity — you're constrained to what your operators can physically demonstrate.
Web video: 1000x cheaper per clip, infinite environmental variety.
Synthetic domain gap. Physics approximations degrade transfer.
Web video: real physics, real materials, real lighting. No sim-to-real gap.
Narrow distribution. Only your vehicles, your routes, your conditions.
Web video: every geography, every weather condition, every edge case.