Autonomous industrial control systems

Experience next-generation control systems that help machinery and processes adapt in real time to changing conditions by creating AI agents that operate effectively and reliability in your most dynamic environments.

Reduce inefficiency with an intelligent control system that can optimise towards multiple goals and handle changing input while driving consistency among human operators with standardised recommendations.

Give operators real-time recommendations to help them monitor operations and make the right decision at the right time. Leverage intelligent control systems to minimise tedious and time-intensive tasks.

Use machine teaching to train complex AI models without needing data science expertise, and rely on the solution to automatically generate, manage and tune neural networks and RL algorithms with familiar GUI and CLI interface options.

Combine subject matter expertise with state-of-the-art AI techniques by connecting AI agents to a wide array of simulation products to ensure the best-fit simulation for your use case.

Accelerate learning through machine teaching to give AI models important clues about how to find a solution and become trained using your existing simulation product.

Deploy AI models in the cloud, on the edge or on a device with direct decision authority, or integrate them into existing IoT monitoring software to provide decision support for operators.

Use machine teaching to develop a deep understanding of your intelligent control system as your team builds it – improving the intelligent control system after deployment by easily re-training the AI agent.

Help operators to identify and resolve issues faster with real-time recommendations, predictions and insights, employing your existing safety protocols and procedures to ensure the reliability of your control system.