Consistent inputs
Synchronization, normalization, deduplication, labeling, and enrichment, with automated checks and human review.
Original training tasks. Real-world capture. Quality-controlled delivery. Built around your model, your use case, and your definition of ready.
Original, benchmark-aligned task environments and verified trajectories for agents that reason, use tools, and complete real work.
Terminal-Bench, FrontierSWE, Frontier-CS, MLE-bench, MLS-Bench, and HLE.
Benchmark names describe capability targets only. No affiliation with benchmark owners or score improvements are claimed. Deliverables are original tasks, not copied evaluation questions.Explore representative footage from our existing data showcase. Custom scope, licensing, and availability are confirmed for each engagement.
First-person demonstrations captured with VR headset rigs, supporting bimanual action and embodied-AI training.
Agree the schema, quality thresholds, and usage requirements before production. Receive a package your team can inspect and integrate.
Synchronization, normalization, deduplication, labeling, and enrichment, with automated checks and human review.
Source and batch metadata, licensing and consent requirements, de-identification where needed, and quality records appropriate to the scope.
LeRobot, DROID, RLDS, HDF5, JSON, and NDJSON. Video, audio, transcripts, and synchronized metadata as the project requires.
Representative outcomes reported in the PulseData program materials. Scope, capacity, and availability are confirmed for each project.
Large-scale video acquisition
Multimodal training inputs
Across a 10+ language program
Translation data1.6 billion translation pairs delivered in four weeks, against an initial six-month timeline.
Medical SFT programTwo-week project start, with a reported program scope of 22 million images and 19 million documents.
Validate a task pack or a scoped capture sample, such as a 20-hour pilot, against agreed acceptance criteria.
Define the modalities, languages, task taxonomy, annotation schema, rights, and delivery cadence around your model needs.
Maintain a recurring data supply with quality reporting, versioned batches, and feed or API delivery where agreed.