Our Calibration software connects to existing calibration toolchains and runs Secondmind Active Learning on the latest GPUs in the cloud. The calibration engineer provides a small amount of 'seed' data that allows Secondmind Active Learning to build an initial model based on the engineer’s requirements. Secondmind's intelligent automation begins.

Secondmind Active Learning determines the optimal experiment to run and requests data from the test bench. Once the test bench returns data, the model is updated and analyzed against the constraints and the algorithms intelligently design the next experiment. This cycle automatically repeats until enough data has been collected to build an accurate calibration map, requiring far fewer experiments than traditional model-based DoE processes.