Teleoperation demonstrations, egocentric video, and precision annotation — delivered at scale. We build the training data that teaches robots how the real world works.
Foundation models for physical AI need thousands of task-specific human demonstrations. Collecting them in-house is slow, expensive, and a distraction from model development.
ABC-130K and similar open datasets are valuable baselines. But your robot needs data for your specific tasks, your specific environment. Generic data doesn't close that gap.
Teams need synchronized joint states, multi-view camera data, wrist-level grasp detail, and rigorous QA before demonstrations become usable training episodes.
Human-operated bimanual robot demonstrations at scale. Leader-follower arm setup, synchronized multi-camera capture, 100% QA before delivery. ABC-compatible and LeRobot V2 native output.
First-person human motion data for embodied AI models. Household tasks, kitchen workflows, and object interaction captured from the human perspective using body sensors and multi-modal recording.
Precision annotation for physical AI workloads. Every label human-verified. Gold labels, overlaps, and random sampling built into every batch — no synthetic shortcuts.
Beyond raw data — we deliver trained policies. Human demonstrations seed the model. Autonomous improvement loops run overnight. You receive working code at a target success rate, not just a dataset.
Tell us the task, environment, object types, and success criteria. We'll align on sensor configuration, camera angles, and output format — LeRobot V2, RLDS, HDF5, or your own spec.
We deliver a 50–100 episode pilot within 2 weeks. Review quality against your pipeline. No commitment required — the pilot is how we prove the data works before you scale.
Approved pilot unlocks production throughput. 100+ usable episodes per station per day, rolling delivery, continuous QA. Scale up task coverage as your model needs evolve.
Add our Seed + Iterate layer. Demonstration data bootstraps the policy. Autonomous improvement loops refine it overnight. You receive a policy at a target success rate with full training logs.
LeRobot V2. XDOF ABC. HDF5. RLDS. We speak your pipeline's language — no conversion overhead, no integration friction. Data loads in one line of Python.
Every episode reviewed before delivery. Gold labels, random sampling, and overlap checks on every annotation batch. The same rigorous playbook as the best data operations in the world.
Open datasets are starting points. Your robot needs data for your specific tasks in your specific environments. We collect to your spec — not to what's convenient for us.
Our operational model delivers significantly lower cost per episode than US-based collection. More data per dollar means more training iterations, faster generalization, faster deployment.
Founded by ML engineers with ex-Meta and Amazon backgrounds. We understand your training stack, not just your data format. QA is done by people who can read a loss curve.
Start with a 50-episode pilot. Scale to thousands of episodes per week as your model matures. Our operational model expands with your data program without compromising quality.
| Service | Output Format | Compatible With | Pilot Turnaround |
|---|---|---|---|
| Teleoperation Episodes | LeRobot V2 / HDF5 | XDOF ABC, ACT, Diffusion Policy, Pi0 | 2 Weeks |
| Egocentric Video | EgoVerse / MP4 + JSON | Mecka EgoVerse, VLA models, GROOT | 1 Week |
| Point Cloud Annotation | LAS / PCD + labels | LiDAR pipelines, 3D detection models | Custom |
| RLHF Preference Data | JSON / JSONL | OpenAI, Anthropic, custom RLHF pipelines | 1 Week |
| SFT Dataset | JSONL / Parquet | VLA fine-tuning, instruction following | 1 Week |
| Seed + Iterate Policy | Python + checkpoints | PyTorch, LeRobot train.py, ABC DiT | 4 Weeks |
No commitment. We deliver 50–100 episodes of your chosen task in 2 weeks. Evaluate quality against your pipeline before you sign anything. Available to qualified robotics labs and foundation model teams.
We build physical AI training data infrastructure — teleoperation demonstration data, egocentric video collection, and precision annotation for robotics and embodied AI teams. We also deliver trained policies through our Seed + Iterate service.
Robotics foundation model labs, humanoid hardware companies, and enterprise automation teams who need task-specific demonstration data, egocentric human motion data, or high-accuracy annotation for physical AI pipelines.
LeRobot V2, XDOF ABC / HDF5, RLDS, EgoVerse, JSON/JSONL, and custom formats. We align on output spec before collection starts — your data loads directly into your pipeline.
Send us your task spec — task description, objects, success criteria, format requirements. We deliver a 50–100 episode batch within 2 weeks at no charge for qualified labs. If quality meets your bar, we scope a production contract from there.
Our premium policy delivery service. Human demonstration data seeds an initial behavior cloning policy. Autonomous improvement loops run overnight using the ENPIRE pattern. You receive a policy at a target success rate with full W&B training logs — not just raw data.
No. We are the data and annotation layer. We work alongside your hardware and model stack — not instead of it.