Training data for
robotics teams that
move fast.
We recruit operators, run teleoperation sessions on your hardware, and deliver policy-ready datasets in LeRobot, RLDS, or HDF5 — in weeks, not months.
Your model is blocked
on data, not architecture.
You have the robot. You have the model architecture. But collecting 500 quality demonstrations, annotating subtask segments, normalizing action vectors, and formatting for OpenVLA or pi0 — that's 3 months of engineering time you don't have.
"A dataset of one million noisy demonstrations is not an asset — it's a liability. Bad demos teach inconsistent strategies, and more data just compounds the noise."
Most teams end up stuck in a loop: collect more data → still bad policy → collect even more data. The problem isn't volume. It's quality, annotation, and format expertise.
Teleop is expensive in-house
$50K–$150K per station in hardware. We bring lean setups to your facility.
Generic annotators miss robot physics
They can't tell a failed grasp from a good one. We train specialists.
No one validates the data trains
Most vendors ship files. We run a smoke test before delivery.
Scale AI minimums are out of reach
Enterprise contracts start at $500K+. We work with Seed–Series B.
Everything from
collection to delivery.
Three services, one vendor. We slot into your pipeline wherever you need us.
Teleoperation Data Collection
We recruit, train, and manage teleoperation operators who collect demonstrations on your hardware — at your facility or remotely with portable Quest 3 + GELLO setups. Pick and place, assembly, bimanual tasks, deformable objects. You bring the robot. We bring the operators, the protocol, and the quality control.
VLA Action Annotation
Send us your raw recordings. We deliver fully annotated datasets: episode-level language instructions, subtask segmentation, success/failure labels, contact state tags, and trajectory quality scores.
OpenVLA · pi0 · Octo · ACTPolicy Smoke Test
Before we ship, we run a mini training pass on 10% of your dataset. If the policy doesn't converge, we fix the data before you ever see it. No other vendor does this.
Included on every deliveryBuilt by people who've done this.
What we're building.
Live projects, active research, and infrastructure in progress.
Market Research — Robotics Data Ops
Deep analysis of the $14B+ humanoid robotics market. Identified the VLA data ops gap for Seed–Series B companies underserved by current vendors. Mapped 50+ YC targets.
trainthemai.com Relaunch
Full repositioning from generic POV video collection to VLA data ops boutique for mid-market robotics. New services, new positioning, new design.
Humanoid Manipulation Dataset
Egocentric + multi-camera demos on Tiangong humanoid hardware. Action segmentation, language labels, success flags. Publishing to HuggingFace in LeRobot v2.
Automated Action Labeling Platform
Proprietary platform for fine-grained temporal annotation, multi-stream action segmentation, and automated QC scoring — built for humanoid robotics data ops.
LatAm Teleop Operator Network
Distributed network of trained teleoperation operators across Latin America. Quest 3 + GELLO setups. Target: 20 operators, 500+ demos/week capacity.
Policy Smoke Test Pipeline
Automated pipeline running a mini ACT or Diffusion Policy training pass on 10% of every delivered dataset. First vendor in the space to offer training-ready validation.
Built for Seed–Series B robotics teams that move too fast to build an internal data ops team.
If you raised $2M–$50M, have robots in the lab, and are hitting the data collection bottleneck — we're the team you'd hire, without the hiring overhead.
From brief to
policy-ready data.
Share Your Brief
Task description, robot specs, target format, volume, and timeline. 30-minute scoping call optional. We'll tell you exactly what to expect before we start.
We Script & Deploy Operators
We write the collection protocol, define success criteria, train operators on your specific task, and configure the data pipeline. You review the protocol before collection begins.
Collect, QA & Annotate
Real-time operator rejection of bad demos, automated trajectory quality checks, human QC review, and full VLA annotation — action segmentation, language labels, success flags.
Policy Smoke Test & Delivery
We run a mini training pass to validate the dataset trains a policy. Then deliver to HuggingFace or your preferred endpoint in your target format, with a full data card.
Ready to fuel
your model?
Tell us what you're building and we'll scope a pilot. Most pilots ship in 2 weeks. No minimums, no lock-in, no enterprise sales cycle.