AI for Industrial Processes
Optimizing industrial control systems with AI
About Us
Gridworld is an applied research company optimizing complex industrial processes with AI. Our solutions combine high-fidelity simulation models with reinforcement learning (RL) to deliver improvements in operational efficiency and product quality.
Meet the TeamOur Approach
High-Fidelity Simulation
Accurate models of your industrial processes, capturing physics, material properties, and process dynamics
AI-Powered Optimization
Reinforcement learning agents discover optimal control strategies that improve efficiency and product quality
Seamless Integration
Solutions tailored to your specific control systems, deployed with minimal additional hardware
Post-training Improvement
Post-training on real-world performance data further improves the control strategies
Enterprise Security
End-to-end privacy and security guarantees, ensuring your proprietary process data remains protected
Our Technology
Digital Twins
Unlike traditional digital twins built for monitoring, ours are purpose-built for AI training. They're computationally efficient, enabling accelerated simulated experiments necessary for AI training.
Reinforcement Learning
Reinforcement learning is an AI paradigm where intelligent agents learn optimal strategies beyond human intuition that outperform decades of hand-tuned controllers through iterative loop-based training.
Built by Oxford Engineers
Our team brings deep technical expertise in machine learning and control engineering, as well as industry and research experience in building AI for physical systems.
Get in Touch
Optimize your industrial processes with AI
- Get a demo with our team
- Map out your optimization opportunities
- Get started with a pilot on your live system