Reinforcement Learning Startups

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.

1 investor

Monte builds post-training and continual learning infrastructure that transforms general AI models into specialized agents adapted to specific organizational workflows. The platform captures training signals from real work, measures performance against actual constraints, and enables reinforcement learning so models improve continuously from experience.

1 investor

Nuntius builds tools to ensure AI models comply with specified constraints and behave reliably in commercial applications.

1 investor

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.

1 investor

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.

1 investor

Pathmind applies deep reinforcement learning to industrial simulations and digital twins, helping engineers optimize operations and supply chains with performance gains, and then implements these optimized policies in live systems.

1 investor

Praxis AI collects egocentric video, 3D scans, and multimodal sensor data from industrial and residential work environments through partnerships with large corporations, then sells this real-world training data to AI companies developing physical robotics and other systems.

1 investor

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.

1 investor

Resonance provides a content repository for marketing campaigns that tailors messaging to individual recipients and automatically archives and recycles effective variations.

1 investor

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.

1 investor

Sylvian provides tools for organizations to create AI agents tailored to specific business tasks and workflows.

1 investor

Synth provides tools for applied AI research and development, enabling developers to build prototypes, run evaluations, and optimize AI software both locally and on cloud infrastructure. The platform combines open-source components with managed cloud services.

1 investor

Topological develops physics-based foundation models for CAD optimization to help hardware engineering teams accelerate their design and optimization workflows. The platform generates efficient designs for complex mechanical problems by understanding physics, geometry, and manufacturability constraints.

1 investor

Velos replaces outsourced manual work and business process operations with AI-powered automation, handling tasks like data entry, reconciliation, document review, and exception handling for enterprise clients.

1 investor