Market Segment
Data & Post-training Vendors
Vendors providing human or expert data, RLHF and post-training data, training datasets, trajectories, and related data used to train or improve models and agents.
Applied research lab building training data, evaluation datasets, and reinforcement-learning environments around expert professional workflows.
Post-training and evaluation company combining subject-matter experts with data workflows for LLM evaluation, RLHF, supervised fine-tuning, and scalable oversight.
AI data provider offering end-to-end reinforcement-learning environment design, human data, evaluation, and verifier/reward construction for agentic AI.
Builds training and evaluation data, including reinforcement-learning environments and agent trajectories, for frontier model development.
Builds financial process data, graders, sealed evaluations, and long-horizon RL environments from real institutional-finance decisions.
Handshake's frontier-AI business spanning expert human data, evaluations, verifier research, and RL-environment work.
EXL-owned AI training and evaluation business providing expert-led model training, evaluation, RL-related data, and multimodal data services.
Provides RL environments, expert data, annotation, and evaluation infrastructure for model builders and enterprises across multiple professional verticals.
Provides reinforcement-learning data, environments, evaluations, and expert-feedback infrastructure for frontier AI teams.
Expert marketplace providing human datasets, benchmarks, and reinforcement-learning environments for professional-workflow AI training.
Data lab combining expert human data, Realm RL environments, contextual agent evaluations, and robotics data.
Human-data and evaluation platform providing verified participants and domain experts for AI training, alignment, safety testing, and model evaluation.
Expert-data and evaluation company turning proprietary domain data into verified RL training sets, sandboxed environments, and adaptive evaluations.
Provides expert human data, RLHF, evaluations, agent training trajectories, and custom RL environments for frontier and domain-specific AI systems.
Physical-AI data infrastructure company, formerly Voxelmaps, providing world and human datasets for autonomous vehicles, humanoid robots, drones, and intelligent machines.
AI data company providing human-in-the-loop training data, model evaluation, annotation, and preference/alignment workflows for advanced AI systems.
Data infrastructure company offering training data, evaluation platforms, and reinforcement learning environments for AI model development.
Develops data, environments, and evaluation infrastructure, including expert-data workflows, for specialized and agentic AI systems.
Human-data and RL-environment company providing expert data, environment tooling, trajectories, verifiers, evaluations, and post-training workflows for frontier AI teams.
Human-data and evaluation provider offering expert data, RLHF, and reinforcement-learning environments for frontier AI systems.
AI data company building RL gyms, virtual environments, trajectories, human-feedback data, evaluations, and safety datasets for AI agents.
Provides datasets, reinforcement-learning environments, expert contributors, and benchmarks for frontier AI model training and evaluation.
Provides reasoning datasets, benchmarks, and verifier-backed RL gyms for mathematics, algorithms, science, and code.
About Data & Post-training
Data & Post-training vendors provide the human or expert data, RLHF and preference data, training datasets, and trajectories used to train, fine-tune, or evaluate models and agents — including annotation and data-labeling workflows, domain-expert review, and human-feedback collection.
This differs from Training Platforms, which run the post-training process itself, and from Evaluation & Safety, which measures a model's resulting behavior rather than supplying the data used to shape it. Data & Post-training vendors instead supply the raw material those processes consume.