Reinforcement Learning Startups
42 companies tagged Reinforcement Learning, with their investors and founders.
rct AI develops artificial intelligence systems for non-player characters in video games and metaverse environments, using deep learning and reinforcement learning to create interactive and adaptive gameplay experiences.
5 investors
Sepal AI generates training and evaluation datasets for AI models at scale, working with leading AI research labs and enterprises to improve model performance on real-world tasks.
5 investors
Osmosis provides reinforcement learning infrastructure that enables AI agents to improve themselves from experience. The platform allows developers to fine-tune models on proprietary data with full ownership, addressing practical challenges in deploying and scaling AI agents across multi-step tasks.
4 investors
EdotEnv is a quant research lab building reinforcement-learning environments at scale from financial market data, designed to increase in difficulty so AI agents can continuously improve. It works with frontier AI labs and academic groups on research harnesses, evaluation benchmarks, and post-training environments toward recursive self-improvement.
3 investors
Theta builds simulation environments and training infrastructure for AI agents specialized to perform enterprise workplace tasks. The company partners with enterprises and research labs to create custom agents that master domain-specific workflows, tools, and decision-making across domains like finance, back office operations, and software development.
3 investors
TrainLoop is a post-training research lab that trains specialized AI models for enterprise customers in pharma, biotech, logistics, and banking. The company develops custom foundation models and agents optimized for long-horizon tasks and mission-critical workflows in high-risk industries.
3 investors
Agentin builds an AI system that automates revenue and spend workflows across enterprise software systems like SAP, Salesforce, and NetSuite, replacing manual coordination with autonomous agents that monitor and fix financial transactions.
2 investors
Atmeto develops machine learning technology for clean energy generation, aiming to decouple carbon dioxide emissions from energy production.
2 investors
Aviro builds training environments and simulated spaces for long-horizon agents and frontier AI models to learn complex navigation and tool use.
2 investors
Cortex Robot builds datasets for embodied AI and robotics, including egocentric video data from real workplaces and robot trajectories for training physical intelligence systems. The company serves robotics developers and AI researchers building foundation models and world models for embodied tasks.
2 investors
An applied AI research lab that develops world models enabling agents to simulate physical environments with high-fidelity reconstruction, using technology derived from autonomous vehicle systems.
2 investors
Fabraix develops automated security testing software that probes AI agents for vulnerabilities using adaptive attack techniques, enabling companies to continuously validate the safety of customer-facing AI systems without manual penetration testing.
2 investors
hiloop provides snapshottable, forkable compute infrastructure with built-in observability for AI agents that propose, run, and verify experiments (autoresearch). It offers self-provisioning sandboxes via API, brokered secrets, and per-run tracing with token and cost tracking queryable via SQL, aimed at teams doing autoresearch, model training, and performance-critical development.
2 investors
HUD builds evaluation tools and reinforcement learning environments for computer-use AI agents, helping frontier AI labs test and train agents across diverse tasks at scale.
2 investors
A company focused on growth and productivity solutions that prioritizes customer needs over technology for its own sake.
2 investors
Magma helps companies that build AI agents package and license their agents' interaction data — traces, corrections, and completed workflows — to AI labs, paying those companies a revenue share. It handles onboarding, data mapping, and packaging so agent logs that would otherwise be discarded can be monetized.
2 investors
Markov Studios captures screen recordings and interaction data from real computer use to create datasets that machine learning models can learn from. The company produces labeled data from real workflows in productivity software and video games.
2 investors
Olam Labs builds multiplayer game environments — such as no-limit Texas hold'em, Risk-style conquest, Codenames-style word deduction, and market simulations — to study how AI agents negotiate, socialize, and compete alongside humans. It also runs large-scale internal simulations with hundreds of concurrent agents and publishes notable research runs.
2 investors
Ooak Data is an applied AI research lab that converts real enterprise data into reinforcement learning environments for training AI agents. The company serves frontier AI labs, enterprise AI teams, and AI startups with multimodal data infrastructure and digital twins based on anonymized real-world company workflows.
2 investors
Riften provides a routing layer that sits between a company's applications and large language model APIs, directing each request to the least expensive capable model and using self-hosted open-weight models where possible to reduce inference costs. It also uses the resulting task data to train private, company-owned models on recurring work, serving businesses that run AI-powered applications.
2 investors
Traverse produces training data for frontier AI models to develop judgment and reasoning in ambiguous, non-deterministic tasks like law, healthcare, and strategic decision-making. The company partners with AI labs to capture real expert reasoning patterns that enable models to perform complex white-collar work at superhuman levels.
2 investors
Vibrant Labs builds tools for teams to develop AI systems that function effectively in real-world applications. The company focuses on providing developer tooling for machine learning and AI implementation.
2 investors
An open-source design editor that allows developers and AI coding agents to collaborate on creating, modifying, and deploying UI components in real time, with changes directly converted to production code.
1 investor
ashr provides testing and evaluation infrastructure for AI agents, allowing developers to run tests, catch failures, and debug agent behavior before production deployment. The platform offers real-time tracing, prompt versioning, and automated failure detection for teams building autonomous agents.
1 investor