Science: AI training data and RL environment vendors
Vendors with public evidence of science work. This is a shortlist by domain, not a quality ranking; multi-domain vendors appear here only when this specific domain is supported.
Science: AI training data and RL environment vendors
31 vendors. 10 state they have a SOC 2 Type I or Type II report and 6 state they can run in a customer's cloud or on-prem. These are sourced statements, not independent verification. Pending and unspecified SOC 2 claims are excluded.
— means not publicly listed or not confirmed; it never means zero or “No”. Checked is the date a company’s facts were last checked, and each fact on its profile links to its source.
| Compare | Vendor | Offerings | Domains | Data sources | Funding | Checked |
|---|---|---|---|---|---|---|
| AppenAppen supplies AI labs and product teams with human-produced training data, annotation, expert feedback, RL environments, and model evaluations for machine-learning and agentic AI systems. | RL envs, Human data, Evals, Training data, Annotation | Multi-domain, Medical, Legal, Science, Finance, Coding, Browser, Security, Enterprise workflows | Expert-made, Licensed data | — | 2026-10-08 | |
| ArenaArena sells AI-model evaluations to labs, enterprises, and developers, using real-world human preferences to assess model performance and provide analytics, feedback samples, and SLA-backed results. | Human data, Evals | Coding, Legal, Medical, Science, Multi-domain | — | $450M | 2026-10-13 | |
| AviroAviro sells reinforcement-learning environments, post-training datasets, and evaluations for AI labs and teams building long-running agents, with tasks spanning coding, computer use, and enterprise knowledge work. | RL envs, Training data, Evals | Coding, Computer use, Enterprise workflows, Science | Expert-made | $500K | 2026-09-29 | |
| BioStack PlatformsBioStack sells clinical and preclinical data, healthcare AI training environments, and evaluation tools to AI labs and life-sciences teams developing medical and drug-discovery models. | RL envs, Training data, Evals | Medical, Science | — | $500K | 2026-09-29 | |
| ClaruClaru provides custom and licensed video, robotics demonstrations, and human annotations to AI labs building robotics, embodied AI, and world models. | Training data, Human data, Annotation, Evals | Robotics and physical, Games, Creative, Multi-domain, Coding, Legal, Medical, Math, Science, Security, Other | Licensed data, Expert-made, Synthetic, Open data | $170M | 2026-10-13 | |
| CueBenchCueBench builds reinforcement-learning environments and task benchmarks for AI labs and developers to train and assess frontier models on difficult scientific-reasoning and performance-engineering problems. | RL envs, Evals | Science, Coding | — | $500K | 2026-09-29 | |
| DatacurveDatacurve sells expert-built coding data, reinforcement-learning environments, benchmarks, and evaluations to foundation-model labs and AI developer-tool companies. | RL envs, Training data, Evals, Human data | Coding, Science, Security | Expert-made | $17.7M | 2026-09-29 | |
| dmodeld_model builds RL environments where agents learn to do interpretability and alignment research, and runs similar agents in its own research. | RL envs | Science, Coding | Synthetic | $500K | 2026-09-29 | |
| EmulatedEmulated offers AI teams post-training datasets, production-like software-engineering environments, and benchmarks to train and evaluate agents on coding, infrastructure operations, machine-learning engineering, and research tasks. | RL envs, Training data, Evals | Coding, Enterprise workflows, Science | Synthetic | $850K | 2026-09-29 | |
| ExabiteSupplies large-scale pretraining and post-training datasets, including code and web, document, and video data, plus verifiable STEM RL environments and custom data sourcing for frontier AI labs. | Training data, RL envs | Coding, Science, Math, Enterprise workflows | Open data | — | 2026-10-13 | |
| HandshakeHandshake supplies frontier AI developers with expert-created training and evaluation data, reinforcement-learning environments, and licensed, de-identified operational records from real companies. | Human data, Evals, RL envs, Training data | Multi-domain, Legal, Finance, Science | Licensed data, Expert-made | $435.5M | 2026-10-13 | |
| InnodataInnodata provides AI developers and enterprises with training data, human feedback, annotation, reinforcement-learning environments, model evaluations, and red-teaming services for building and improving AI models and agents. | RL envs, Human data, Training data, Evals, Annotation | Coding, Computer use, Browser, Enterprise workflows, Finance, Legal, Medical, Science, Math, Security, Robotics and physical, Multi-domain | Customer data, Expert-made, Synthetic | — | 2026-10-13 | |
| LabelboxLabelbox sells simulated reinforcement-learning environments, expert-generated preference and training data, and evaluation services to frontier AI labs; it also offers enterprise teams software for running agents on real company workflows. | RL envs, Human data, Evals, Training data, Annotation, RL infra | Multi-domain, Coding, Computer use, Security, Enterprise workflows, Science, Robotics and physical, Finance, Legal | Licensed data | $189M | 2026-09-29 | |
| LatchLatchBio sells cloud data and compute software, bioinformatics workflows, and AI-based analysis to biotech R&D teams, laboratories, and scientific kit or instrument providers. It also publishes evaluations and offers assessment services for biology-focused AI agents. | Evals | Science, Security, Medical | Expert-made | $163M | 2026-09-29 | |
| NoumadNoumad builds formally verified reinforcement-learning environments for post-training AI agents on unsolved problems in long-horizon machine learning, computational science, robotics and cybersecurity. | RL envs | Science, Robotics and physical, Security, Other, Multi-domain | Synthetic | — | 2026-10-13 | |
| ParetoPareto supplies AI labs with specialist-created training data, evaluations, and RL environments that turn expert judgment into signals for assessing and improving frontier models. | RL envs, Human data, Evals | Multi-domain, Medical, Legal, Finance, Coding, Science | Expert-made | $17.8M | 2026-09-29 | |
| Preference ModelPreference Model builds reinforcement-learning environments for frontier AI labs, helping train models to handle machine-learning research and engineering tasks. | RL envs, Training data | Coding, Science | — | $16M | 2026-09-29 | |
| ProximalProximal builds coding tasks, training data and RL environments that AI labs and enterprises use to train software-engineering agents. | RL envs, Training data, Evals | Coding, Science | Synthetic | — | 2026-10-08 | |
| ReasonCoreReasonCore provides expert-curated AI training datasets, reinforcement-learning environments, and adaptive evaluations for frontier AI labs, emerging AI labs, and enterprises developing or deploying advanced models. | RL envs, Training data, Evals, Human data, Annotation | Robotics and physical, Science, Coding, Finance, Math, Enterprise workflows | Customer data, Expert-made | — | 2026-09-29 | |
| SnorkelSnorkel sells expert-built training datasets, agent environments, benchmarks and evaluations—through ready-to-use products and custom data-development services—to frontier AI labs and enterprise AI teams. | Training data, Evals, RL envs, Human data | Multi-domain, Coding, Science, Finance, Enterprise workflows, Medical, Legal | Expert-made, Synthetic | $587M | 2026-09-29 | |
| SuperAnnotateSuperAnnotate sells AI data software and managed expert services to AI labs and developers, covering multimodal annotation, training data, model and agent evaluations, and reinforcement-learning environments. | RL envs, Human data, Evals, Annotation, Training data | Multi-domain, Medical, Legal, Science, Coding, Browser, Computer use, Robotics and physical, Math, Enterprise workflows, Finance | Expert-made | $67.5M | 2026-09-29 | |
| SurgeSurge sells AI labs and developers expert-built training data, human feedback, evaluation benchmarks, and interactive reinforcement-learning environments to train and assess AI models and agents. | RL envs, Training data, Evals, Human data, Annotation | Multi-domain, Coding, Enterprise workflows, Finance, Medical, Science, Math, Legal | Expert-made | — | 2026-09-29 | |
| SymbalSymbal supplies AI labs with multimodal post-training datasets, private evaluations and benchmarks, and human-in-the-loop data; it also builds enterprise agents using customers’ first-party workflows. | Training data, Evals, Simulation | Multi-domain, Science, Math, Finance, Medical, Legal, Robotics and physical, Coding | Customer data | — | 2026-09-29 | |
| Synthetic SciencesAn AI co-scientist workbench for research teams, automating literature review, hypothesis generation, experiments, analysis, and paper drafting; the company also develops scientific evaluations and long-horizon RL environments for AI labs. | RL envs, Evals | Science | — | $1.9M | 2026-09-29 | |
| Tacit LabsTacit builds expert-authored life-science evaluations, scientific agent environments, and structured datasets to help frontier AI labs train and assess models on long-horizon biology, chemistry, and drug-development tasks. | RL envs, Evals, Training data, Human data | Science | Expert-made | — | 2026-09-29 | |
| TELUS DigitalAcquired by TELUSTELUS Digital supplies AI labs and developers with expert-built training data, annotations, agentic RL environments, red-team testing and evaluations, plus custom multimodal and physical-AI datasets and managed data-collection services. | RL envs, Human data, Training data, Evals, Annotation | Coding, Enterprise workflows, Finance, Legal, Medical, Math, Robotics and physical, Science, Security, Other, Multi-domain | Expert-made, Customer data | — | 2026-10-13 | |
| TolokaToloka supplies AI labs and developers with human-expert and synthetic training data, agent environments, evaluations, and red-teaming to build and assess AI models and agents. | RL envs, Human data, Evals, Training data, Annotation | Multi-domain, Coding, Computer use, Enterprise workflows, Math, Science, Robotics and physical | Synthetic | $72M | 2026-09-29 | |
| TuringTuring supplies AI labs with training data, evaluations, and RL environments for coding, enterprise knowledge work, and STEM. It also helps large enterprises build and deploy AI agents in important workflows. | RL envs, Training data, Evals, Human data | Multi-domain, Coding, Enterprise workflows, Science, Math, Finance, Legal, Medical, Computer use, Security | Customer data | $225M | 2026-10-13 | |
| Uber AI SolutionsUber AI Solutions provides custom AI data collection and annotation, specialist human feedback and RLHF, red-teaming, and model evaluation for frontier labs, enterprises, robotics firms, and autonomous-vehicle developers. | Annotation, Training data, Evals, Human data, RL envs | Coding, Enterprise workflows, Finance, Legal, Medical, Science, Robotics and physical, Multi-domain, Other | Expert-made, Customer data | — | 2026-10-09 | |
| UlamUlam sells reasoning datasets, expert-reviewed traces, benchmarks, and verifier-backed RL environments—primarily for mathematics and STEM—to AI labs and developers. | RL envs, Training data, Evals, Human data | Coding, Science, Math, Multi-domain | Synthetic | — | 2026-10-13 | |
| Vetto AIVetto sells AI labs and developers expert post-training data, human evaluation, custom RL environments, and verifier-graded benchmarks to help train and assess models on practical tasks. | RL envs, Training data, Evals, Human data, Annotation | Multi-domain, Science, Medical, Legal, Finance, Coding, Computer use | Expert-made | $3.6M | 2026-09-29 |
No vendor matches every filter. Filters in different groups must all match. Remove one to widen the list:
— not publicly listed or not confirmed. Open a profile for each fact’s source. The register is unranked; sorting only reorders.
How to read domain and SOC 2 labels
Multi-domain means work across several task areas, not every area. Vendors appear in a specific domain filter only when that area has supporting evidence. SOC 2 entries are vendor statements, not independently verified audits: Unspecified means claimed without a stated type; Pending means in progress; Not publicly listed means we found no public statement. None of those means a completed Type I/II report. SOC 2 and deployment details remain on profiles and in comparison.