Browser: AI training data and RL environment vendors
Vendors with public evidence of browser work. This is a shortlist by domain, not a quality ranking; multi-domain vendors appear here only when this specific domain is supported.
Browser: AI training data and RL environment vendors
16 vendors. 6 state they have a SOC 2 Type I or Type II report and 4 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 |
|---|---|---|---|---|---|---|
| AfterQueryAfterQuery sells expert-created and synthetic training datasets, reinforcement-learning environments, and custom evaluations to AI labs and enterprises developing foundation models and agents. | RL envs, Training data, Evals, Human data | Multi-domain, Coding, Computer use, Browser, Finance, Legal, Medical | Expert-made, Synthetic | $30.5M | 2026-10-13 | |
| 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 | |
| DatoricDatoric licenses robotics and physical-AI training data (egocentric video, manipulation and teleoperation recordings), runs custom collections to a buyer's specification, and also offers computer-use, voice and gameplay datasets. | Training data, Human data | Computer use, Browser, Enterprise workflows, Robotics and physical, Games, Multi-domain, Other | Expert-made | $4.5M | 2026-10-13 | |
| Deccan AIDeccan AI sells AI labs and developers expert-created post-training datasets, human feedback, reinforcement-learning environments and evaluations; it also offers enterprises monitoring and AI-enabled operations tools. | RL envs, Training data, Evals, Human data | Multi-domain, Coding, Enterprise workflows, Computer use, Browser | Expert-made | $25M | 2026-09-29 | |
| Eigent AIEigent sells an open-source multi-agent desktop workforce for automating enterprise workflows, and builds custom RL environments, benchmarks, and training/evaluation loops for enterprise teams and AI developers. | RL envs, Evals, Training data | Multi-domain, Browser, Enterprise workflows | Open data, Synthetic | — | 2026-10-09 | |
| HalluminateHalluminate sells finance-focused computer-use and tool-use RL environments, simulated business applications, training data, and agent benchmarks to frontier AI labs and enterprise AI teams. | RL envs, Training data, Evals | Computer use, Browser, Enterprise workflows, Finance | Expert-made | $38.5M | 2026-10-08 | |
| 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 | |
| MarkovMarkov sells computer-use datasets and task environments—including expert CAD, productivity, coding, and gaming workflows—to AI labs and developers training or evaluating desktop agents. | RL envs, Training data, Evals, Human data | Multi-domain, Computer use, Coding, Browser, Games | Expert-made | $500K | 2026-09-29 | |
| MatricesMatrices sells realistic simulated computer-use environments to AI labs, where multimodal agents practice browser and workplace tasks through reinforcement learning without real-world side effects. | RL envs, Simulation | Computer use, Browser, Enterprise workflows | App replicas | $5M | 2026-09-29 | |
| MercorMercor sells expert-created training data, reinforcement-learning environments, and evaluations and benchmarks to frontier AI labs and other AI developers. It also offers enterprise data licensing and evaluation services. | RL envs, Human data, Training data, Evals | Multi-domain, Finance, Legal, Medical, Coding, Browser, Enterprise workflows | Licensed data, Expert-made, Synthetic | $483.6M | 2026-10-13 | |
| PlatoPlato builds simulated software and computer environments from real-world data so AI agent developers can train, test, and score browser and computer-use agents. | RL envs, Evals | Multi-domain, Browser, Computer use, Enterprise workflows | Synthetic | $2.5M | 2026-09-29 | |
| RunloopRunloop provides isolated development sandboxes, orchestration, and benchmarking tools so AI developers and labs can build, run, score, and refine coding agents, including reinforcement-learning and fine-tuning workflows. | RL envs, Evals, RL infra | Coding, Browser, Computer use | Synthetic | $7M | 2026-10-13 | |
| ScaleScale sells AI labs and businesses custom training data, human feedback, annotation, RL environments, and model evaluations, alongside software to build, test, and deploy AI agents and applications. | RL envs, Training data, Evals, Human data, Annotation | Multi-domain, Coding, Computer use, Browser, Enterprise workflows, Finance | Synthetic, App replicas | $15.9B | 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 | |
| ThetaTheta sells custom simulated work environments and hands-on implementation to AI labs and enterprises, helping them train and evaluate specialized agents on realistic, multi-step business workflows. | RL envs, Evals, RL infra | Multi-domain, Computer use, Browser, Enterprise workflows, Finance, Medical, Coding | Customer data, Expert-made | $500K | 2026-09-29 | |
| Vibrant LabsVibrant Labs builds RL-ready simulated environments, training tasks, and benchmarks for AI labs and developers working on long-horizon agents, including agents that use browsers, computers, or enterprise tools. | RL envs, Training data, Evals | Multi-domain, Computer use, Browser, Enterprise workflows | Synthetic, App replicas | $2.5M | 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.