Robotics Data Companies

How to choose a robotics data company in 2026

Answer in brief: First decide which category of robotics data you need, then shortlist two or three vendors in it. If your policy must learn robot actions, you need teleoperation collection (Scale AI, Labelbox Terra, Encord, Fax Research). If you are pre-training on human behavior, you need egocentric video (Firsthand, Toloka, Knoxlabs, Appen). For cheap scale and edge cases, use simulation/synthetic data (NVIDIA Isaac Sim). If you already have logs, you need sensor and LiDAR annotation (iMerit, Sama, Segments.ai, Kognic). If you need data now, look at dataset marketplaces (Toloka, Fax Research, Appen, NVIDIA's open datasets). Then insist on samples in your format and a paid pilot.

Top pick if you can only make one call: Scale AI. It covers teleop, egocentric and your own hardware, at the highest daily volume claimed in our directory.

This is independent research. We did not test vendors or buy data. Vendor facts come from their own pages, read on 2026-11-09. See the ranked directory and our methodology.

Step 1: Find your category

Your situationCategoryShortlist
Training a VLA, humanoid or imitation-learning policy on a specific robotTeleoperation collection · · ·
Pre-training on diverse first-person human manipulationEgocentric video · · ·
Need edge cases, randomization or testing before hardware existsSimulation / synthetic
Already logging camera/LiDAR/radar from a fleetSensor & LiDAR annotation · · ·
Need data this week, before a custom programDataset marketplacesToloka off-the-shelf datasets, Fax Research licensed sourcing, Appen catalog, NVIDIA Physical AI Open Datasets on Hugging Face

Step 2: Lock down the embodiment

Action data only transfers if it matches your robot's action space. Ask each vendor: Will you run our hardware? Scale offers customer hardware operated by Scale, Labelbox says Terra is embodiment-agnostic, and Encord pilots protocols then collects on-site at your facility. Can you put our gripper or glove on your operators? Knoxlabs offers exactly that. Which state and action channels do you record, and at what rate? Fax Research specifies gripper pose and width, joint states and commanded actions where the rig supports them.

Step 3: Demand samples in your format

Load real samples into your training stack before you sign. The bar is already public. Firsthand gives away a 2.4 GB pack and delivers RLDS, LeRobot, WebDataset, HDF5, zarr and Rerun .rrd. Knoxlabs sends HDF5 and LeRobot samples within one business day. Encord ingests MCAP and ROSBAG natively. A vendor that won't share a sample is a red flag.

Step 4: Buy coverage, not hours

Hours are easy to inflate with repetitive footage. Ask for the distribution across environments, objects, operators and lighting, and ask how the vendor fills gaps. Labelbox Terra steers collection against a target distribution. Firsthand publishes a coverage histogram that marks thin cells. Treat a single headline hour count with suspicion.

Step 5: Check sync, calibration and QA claims closely

Ask what the sync error is and which rig it applies to. Firsthand publishes a 1.12 ms median but scopes it to its instrumented rig. Appen ships sub-millisecond alignment metadata and intrinsic/extrinsic calibration. Ask what happens to failed episodes. Labelbox re-records them, and Firsthand recaptures frames over its 2 ms ceiling. For annotation, ask for a written quality floor. Sama's SamaAssure starts at 95% and can go up to 99.5%.

Step 6: Get provenance and license terms in writing

Require participant consent, bystander de-identification and clear commercial rights. Firsthand states that every participant signs a written commercial release and that the license is buyer-owned and perpetual. Fax Research verifies source, rights and authenticity, though it notes this is not an absolute guarantee. Appen describes participant consent and GDPR-aligned handling.

Step 7: Match security and hosting

If data can't leave your cloud, prefer platforms with VPC, on-prem or air-gapped options (Encord). If you need certifications, Scale lists SOC 2 Type II and ISO 27001, and iMerit lists ISO 27001, SOC 2 and HIPAA.

Step 8: Run a paid pilot and price per usable episode

Almost every vendor here quotes per program. The published price points are few: Segments.ai Core is equivalent to $2.67 per labeling hour, Toloka's HomER example cost $50, and Isaac Sim is free open-source software (you pay for compute). Put the same task spec to two vendors, train on both deliveries and compare results. Our pricing guide tracks published figures.

Red flags

FAQ

Should I buy real-world data or use synthetic data?

Most teams combine them. Simulators like NVIDIA Isaac Sim provide scale, randomization and testing. Real-world teleop and egocentric data capture the variety simulators miss.

How many vendors should I pilot?

Two or three in the same category, given the same task spec, so you can compare delivered quality and cost per usable episode.

Can one vendor cover every category?

Scale AI, Labelbox Terra and Encord each cover teleop and egocentric collection. Encord adds LiDAR annotation software. None covers simulation, so most teams still add Isaac Sim or a similar tool.

Head-to-head guides

Scale AI vs Labelbox · Scale AI vs Encord · Labelbox vs Encord · Toloka vs Firsthand · iMerit vs Sama · Alternatives to Scale AI · Alternatives to Labelbox

Reviews: Scale AI · Labelbox · Encord · Toloka · Appen · Knoxlabs · Firsthand · Fax Research · iMerit · Sama · Segments.ai · Kognic

Sources

Named on this page as a provider? Join the network for a linked profile, Visit buttons and featured placement.