How we researched and ranked robotics data providers
Last updated: 2026-11-09
This page explains how we built the ranked list. We did not test, buy or use any product listed. The rankings come from public information only.
How we found candidates
In November 2026 we ran web searches for companies offering robot teleoperation data, egocentric (first-person) demonstration video, manipulation datasets, LiDAR and multi-sensor annotation, and synthetic or simulation data for robotics. We then read each candidate's own product, pricing, documentation and license pages.
What we read directly
For every ranked provider we read at least one official page ourselves: Scale AI (Physical AI page and FineART post), Encord (robotics, physical AI and pricing pages), Toloka (physical AI page and dataset catalog), Kognic, Firsthand, Guardian AI, micro1, Segments.ai (pricing), Sama (AV and ADAS page), Robata AI, Anyverse (robotics page), and NVIDIA. For NVIDIA we read the Isaac Sim developer page, the AI Enterprise pricing guide, the Isaac Lab README and the Cosmos page.
A few details come from a research tool's summaries of official pages rather than our own reading:
- The answers on NVIDIA's Isaac Sim license FAQ, which were collapsed when we loaded it (we could read the questions).
- The OpenMDW-1.1 license listed on NVIDIA's Cosmos GitHub repository.
- Kognic's description of its pricing as project-based.
What we needed before including a company
- An official web page that clearly offers robotics or physical-AI data, or tools to produce it.
- An offering that is commercially available now, not only a waitlist or a pilot.
- Enough public detail to describe what the company provides and how you buy it.
We left out companies whose official pages we could not load during this research: Duality AI and Parallel Domain. We also left out Cortex Robot, whose robot-data page returned almost no text. We may add them after re-checking. We reviewed several newer egocentric-data startups as well, including EgoScale, 1to1.bot, MoVo, NLABEL and HumanData Labs. They did not make this list because we prioritized providers with broader or better-documented offerings.
How we ranked
- Robotics relevance: how directly the offering serves robot learning (actions, demonstrations, multi-sensor perception) rather than general AI data.
- Breadth: collection, annotation, licensed datasets and tooling, and how many data types are covered.
- Evidence of maturity: documented delivery formats, quality control, certifications, named workflows and publicly described scale.
- Transparency: published pricing, samples, quality guarantees, consent and provenance practices.
Specialists that do one thing well, such as LiDAR labeling or egocentric capture, can rank below broader providers. That says nothing about their quality in their specialty, so read the Best for line in each entry.
Limits
- Figures such as hours delivered, sync error, annotation counts and customer results are each company's own claims. We report them as such and have not audited them.
- Most providers do not publish prices, so we describe pricing models rather than actual costs. NVIDIA's figures are list prices.
- NVIDIA's own pages differ on the name of the license required to redistribute Isaac Sim. We report both.
- Offerings in this field change quickly. We update the page and the Last updated date when we re-check sources.
Independence
No company paid to be included or to be ranked higher. Links to vendor sites are plain links, not paid placements.