Leading IoT companies are using Collimator to stay ahead of their competition and get the most out of their industrial automation systems. From designing or integrating complicated systems to running digital twins in parallel, Collimator accelerates innovation for their engineering teams.
Build data driven or physics based digital twins rapidly using system identification or machine learning
Leverage thousands of functions to run your system more efficiently using predictive maintenance, feedback and supervisory control, model predictive control, etc.
Optimize your system parameters (e.g., PID parameters, running conditions) over millions of runs before it goes into production
Directly embed trained neural networks in your model to get end-to-end insight into your system performance. For example, energy price predictions to proactively accelerate/decelerate production, vibration analysis to trigger a safety alert, etc.
Use the system you designed as a digital twin to simulate and test updates to your embedded or PLC software, train your ML, etc.
Stream data from production to evaluate efficiency, make performance improvements, or predict when the maintenance crew should be alerted
Automatically generate C code for your embedded system controller
Continuously build, test and deploy updates to embedded systems
Import neural networks to deploy in your system design
Reduce risk using modeling, simulation and end-to-end traceability
Generate and export synthetic data to train neural networks
Simplify data exploration and insights gathering through automated tests