Science AI training data providers.
22 companies say on their own websites that they sell datasets and work on science. 11 of them have revenue, a valuation or funding on record, and come first, largest first. Each line below is the company's own description, linked to the page it is on.
“Our off-the-shelf datasets are the same: thousands of hours of expert reasoning, pre-built and ready to use today, spanning RL environments, coding, and the core capabilities every model needs.” its page
Data comes from: made by experts and contractors.
- Snorkel AI
#6 overall, $375M revenue, run rate, Sep 2026
“The Snorkel Data Series is a set of research-defined, non-exclusive dataset and environment products, refreshed quarterly as models advance.” its page
Data comes from: made by experts and contractors, the client's own data.
“We offer frontier AI labs custom and off-the-shelf datasets, RL environments, and human experts in software engineering, enterprise knowledge work, and frontier STEM.” its page
Data comes from: made by experts and contractors, replicas of real software.
“Appen provides specialist LLM training data across the full development pipeline, from initial fine-tuning demonstrations through to the expert preference feedback and adversarial testing that alignment requires.” its page
Data comes from: recorded from people and the real world, made by experts and contractors, licensed from its owners, generated.
- AfterQuery
#13 overall, $100M revenue, run rate, Apr 2026
“Offers ready-to-deploy datasets across high-demand capability areas” its page
Data comes from: made by experts and contractors, recorded from people and the real world, generated, the client's own data.
“Expert-built, verified by code, and proven to transfer. ... License our off-the-shelf data for eval, SFT or RL.” its page
Data comes from: recorded from people and the real world, made by experts and contractors, generated.
- Patronus AI
#24 overall, $70M raised in total
“RL environments for alignment teach a model to do what was meant, not only what was measured. They are AI alignment datasets built as training environments.” its page
Data comes from: made by experts and contractors, generated.
- SuperAnnotate
#30 overall, $49.5M raised in total
“Versioned, audited datasets with full lineage from raw signal to train set.” its page
Data comes from: made by experts and contractors.
“Original corpus of 1,000 Chain of Thought math problems, including step-wise corrections and annotation, intersecting 60+ disparate subdomains of formal and applied mathematics.” its page
Data comes from: recorded from people and the real world, made by experts and contractors.
- BioStack Platforms
#41 overall, $9.5M raised in total
“Get novel pre-clinical and medical datasets, perform causal inference, and generate data points for pre / post training.” its page
Data comes from: recorded from people and the real world, made by experts and contractors.
“A 30M cell observational atlas spanning 150 diseases, 200 tissues and 27 technologies” its page
Data comes from: public data, made by experts and contractors.
“Each dataset contains 1000 validated tasks harvested from popular GitHub repos.” its page
Data comes from: made by experts and contractors, public data.
“We turn these worlds into post-training datasets and reinforcement learning environments to train the next frontier of AI.” its page
Data comes from: made by experts and contractors, replicas of real software, generated.
“Selected scopes can include trajectories, annotations, and human-reviewed golden runs.” its page
Data comes from: generated.
“PhDs and professionals in mathematics, medicine, law, finance, and engineering providing expert-grade training data.” its page
Data comes from: made by experts and contractors.
“SYNTHETIC-2 consists of a large set of verifiable reasoning tasks as well as reasoning traces obtained from multiple models.” its page
Data comes from: generated, public data.
“Pre-built, expert-authored datasets and RL environments with tasks, verifiers, and trajectories, ready to license.” its page
Data comes from: made by experts and contractors.
“We’ve built Sepal AI - the data development platform that enables you to curate useful datasets.” its page
Data comes from: made by experts and contractors, generated.
“from building high-quality training datasets to delivering production-ready models” its page
Data comes from: the client's own data.
“Tacit Labs is building data, evaluations, and research environments unlocking scientific discovery capabilities for frontier models.” its page
Data comes from: recorded from people and the real world.
“Start with difficult math, STEM, and cybersecurity problems packaged with verifiers and reward signals.” its page
Data comes from: generated, made by experts and contractors.
“Pre-built datasets spanning RL environments, coding, and core capabilities.” its page
Data comes from: made by experts and contractors, the client's own data.
