Monolith — AI Mechanical Engineering Tool

What is Monolith?

Monolith is an AI-powered software platform that builds self-learning models from engineering test data. It processes test measurements to predict product performance, detect anomalies in data, and identify root causes of failures for engineers in automotive, aerospace, and industrial sectors. The platform features a no-code interface that allows domain experts to train machine learning models without programming skills, while offering specialized algorithms specifically designed for handling engineering data challenges.

What sets Monolith apart?

Monolith sets itself apart with its seamless workflow integration capabilities, allowing engineers to incorporate AI modeling directly into existing test systems through custom APIs. This direct connection to engineering tools makes predictive modeling practical for automotive and aerospace teams working with time-series data and 3D geometries from CAD or simulation fields. Monolith stands out in the engineering AI space by enabling cross-team collaboration through interactive dashboards that help retain and share knowledge across departments.

Monolith Use Cases

• Test plan optimization
• Anomaly detection in data
• Root cause analysis
• System calibration