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.

An engineer runs a Pathmind simulation optimization experiment in a factory.

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.

Averill M. Law’s Simulation Seminars

“I have presented more than 560 simulation short courses in 20 countries and believe that reinforcement learning is the most exciting simulation-related technology to come along since agent-based simulation became popular in the early 2000s.”

Averill M. Law, Ph.D.

Author of the book, Simulation Modeling and Analysis

Pathmind Partners

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?

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No Data Scientists Required

Experiment with state-of-the-art reinforcement learning algorithms and techniques without data science expertise. We handle it for you.

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Pathmind automatically handles the pain of integrating a simulation with reinforcement learning libraries, hyperparameter tuning, and setting up training infrastructure.

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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

Join Pathmind Online for the 2021 AnyLogic Conference

Join Pathmind Online for the 2021 AnyLogic Conference

Join Pathmind on September 23rd as we attend this year's AnyLogic Conference, an annual event showcasing how organizations around the world are using AnyLogic simulation software to solve problems across industries. This year's free virtual event...

Multi-Echelon Inventory Optimization With AI

Multi-Echelon Inventory Optimization With AI

Supply chain optimization tools need to be robust and capable of managing product flows across multiple types of locations in a network. Multi-echelon inventory optimization can be a challenge for optimizers and baseline heuristics and supply chain...