RL Environments and Agents
Rich, complex RL environments that challenge agentic models in novel ways, with verifiers designed to reward their behavior.
What it does
Rich, complex RL environments that challenge agentic models in novel ways, with verifiers designed to reward their behavior. Practice environments for AI agents to develop real mastery through gameplay.
- RLHF data generation
- SFT demonstration data
- Human evaluation of AI outputs
- Expert domain data collection
- AI internationalization across 70+ languages
- Multimodal AI data (image, audio, video)
- Off-the-shelf datasets for model training
- Category
- Training data and labeling
- Users
- AI/ML teams building frontier models, Organizations training or evaluating AGI systems
- Public API
- Not offered
Not yet disclosed: deployment options, platforms, languages and support channels.
Pricing
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Security and compliance
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