Monolith AI

Monolith AI is a no-code machine learning platform for engineering that learns from test and simulation data to predict design performance, recommend the next tests to run, and detect anomalies, reducing physical prototype testing. Its low-code interface lets engineers create end-to-end machine learning workflows without coding or data science knowledge, per the vendor's automotive testing page.

The platform works with engineering test data from all measurements, signals, or sensors, including time-series, 3D CAD, and tabular data. Engineers build self-learning models that predict the performance of complex systems, so they can test less, learn more, and develop better quality products faster. Vendor coverage cites BMW Group engineers building self-learning models from crash data to predict tibia force across crash types without physical crashes, and Nissan using the platform to simulate and validate vehicle performance from historical test data and digital simulations.

Monolith's tools include a Next Test Recommender and an Anomaly Detector, and its 3D deep learning technology parameterizes datasets of 3D CAD designs so models can predict outcomes for new designs. The vendor states its objective is to cut engineers' product development cycle in half. In October 2025 CoreWeave agreed to acquire Monolith AI, per trade coverage; financial terms were not disclosed.