Reinforcement Learning Startups

Unify provides AI agents that handle routine business tasks across communications, sales, operations, and engineering by executing pre-built workflows or custom automation. The service serves tech-focused companies and teams looking to offload administrative and repetitive work.

15 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.

7 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.

7 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.

6 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.

6 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.

5 investors

A company focused on growth and productivity solutions that prioritizes customer needs over technology for its own sake.

5 investors

rct AI builds AI-driven non-player characters and AI-generated content for the video game industry, offering tools for both game developers and players. It applies deep learning and reinforcement learning to create dynamic, interactive gaming experiences and metaverse content.

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

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.

5 investors

Belvedir provides a platform for training and deploying custom AI models with private hosting and continual learning capabilities. The platform enables companies to collect production data, create training datasets, fine-tune models using reinforcement learning, and improve AI systems in feedback loops controlled by the customer.

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.

4 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.

4 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.

4 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.

4 investors

Sherpa Labs is building an agentic data platform that uses a swarm of AI agents to automate ETL, data modeling, and data discovery. Its assistant, Finn, provides natural language search, automated data dictionaries, and data lineage visualization for modern data teams and data-driven organizations.

4 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.

3 investors

Aviro builds training environments and simulated spaces for long-horizon agents and frontier AI models to learn complex navigation and tool use.

3 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.

3 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.

3 investors

Petrarch operates a marketplace that connects buyers and sellers of specialized datasets and proprietary information.

3 investors

Prodigy Research is an AI research lab building a foundation model for quantitative trading, and operates live trading systems in financial markets. It targets the trading and financial-reasoning domain, applying proprietary AI models and agents to equities and delta-neutral strategies.

3 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.

3 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.

3 investors