The Monolith Core Platform is an AI-powered engineering software that enables teams to build self-learning models from test data. It helps engineers reduce physical testing, optimize test plans, and uncover design insights faster. The platform is cloud-based, scalable, and designed for complex engineering challenges in industries like automotive and aerospace.

The System Calibration module from Monolith uses AI to optimize complex engineering systems by predicting performance outcomes with less data and fewer tests. It helps engineers balance multiple input parameters, reduce testing time, and make faster, more confident decisions when calibrating systems for key performance requirements.

The Test Data Validation module from Monolith uses AI to detect over 90% of known errors in engineering test data within seconds. It identifies anomalies across hundreds of signals, helping engineers eliminate faulty tests, reduce waste, and accelerate validation with greater accuracy and confidence.

The Test Plan Optimisation module from Monolith uses AI to reduce validation test steps by up to 70%, helping engineers focus on the most critical tests. It applies thousands of algorithms to explore design spaces, eliminate redundant tests, and accelerate product development with fewer prototypes and greater confidence.