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.
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.”
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?
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
SimWell: Increasing Ore Production and Routing Mining Trucks With AI
Optimizing ore transportation at open-pit mining sites requires an intelligent solution able to coordinate multiple agents while dealing with possible equipment failures. When ore is extracted from a site, it is first transported to ore preparation...
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
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...
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