What is Pathmind?
Pathmind is a SaaS platform that enables businesses to apply reinforcement learning to real-world scenarios without data science expertise. You focus on your simulation and we handle the rest.

Who is Pathmind For?
Pathmind is designed for professional simulation engineers, consultancies, and corporate teams who seek to apply reinforcement learning to their simulation projects.




Don't have a simulation model? No problem!
Contact Pathmind to discuss opportunities to work with one of our partners who can create an RL-ready simulation for you.
Why Pathmind?
No Data Scientists Required
Experiment with state-of-the-art reinforcement learning algorithms and techniques without data science expertise. We handle it for you.
Auto-RL
Pathmind automatically handles the pain of integrating a simulation with reinforcement learning libraries, hyperparameter tuning, and setting up training infrastructure.
Deploy Real-Time Decisions
Implement your trained policies in real-world systems to make key decisions better. All Pathmind policies are available via REST API.
Recent Updates
Engineering Group: Manufacturing Optimization with AI Minimizes Factory Flow Bottlenecks
Summary Engineering Group, a global engineering firm and technology consultancy with a strong practice in simulation, worked with Pathmind to apply reinforcement learning to intelligently route heavy industrial parts over a complex assembly line in...
Engineering Group: Using AI to Maximize Factory Output with Better Order Sequencing
Summary Engineering Group, a global engineering firm and technology consultancy with a strong practice in simulation, worked with Pathmind to apply reinforcement learning to maximize factory output by making smarter decisions about order...
Princeton Consultants: Using AI to Maximize Efficiency of Machine Scheduling
Summary Princeton Consultants, a simulation consulting firm, serves a manufacturing client with a hard machine scheduling problem. Its optimizer had difficulty scheduling machines for new types of items that needed to be processed; it was not able...