Monolith Platform Features

Built to complement existing workflows


Monolith is not a replacement to the Engineering expertise you've spent decades perfecting. Instead, it complements and accelerates your existing workflows.

Kautex-Textron webinar

Use AI to predict fuel-sloshing noise, solve intractable physics

  • Problem: Vehicle acoustics 
  • Methods tried: CFD, physics-based simulation
  • Solution: Predict noise, reduce testing with self-learning models
Workflow & API Integration

Connect Monolith directly to where your data is stored. Upload and manage raw data files. Call Monolith dashboards and models from your environments.

workflow integration and api
data wrangling monolith ai
Data Wrangling

Use your domain knowledge to transform your raw data and select the most relevant variables for building and using AI models.

Time-Series Data Support

Monolith includes data transformation tools to resample and extract features from time-dependent data, such as sensor measurements.

Time-series data support
3D Data Support

Import, visualize, transform, and model 3D data (CAD geometry, mesh surfaces, point cloud or simulation fields) to unlock the application of AI to 3D use cases.

New Feature

Next Test Recommender (NTR): AI-Powered Test Plan Optimisation

Learn how our AI software's latest feature enables users to train and assess machine learning models. It offers valuable recommendations for optimal test conditions to apply in the next round of testing. NTR assesses previously gathered data to suggest the most effective new tests to conduct. 

A commissioned study conducted by Forrester Consulting on behalf of Monolith

The State of AI in Engineering  

First-ever study on AI in product development surveys US and European automotive, aerospace and industrial engineering leaders.


Other Platform Features

Self Learning
Self Learning Models
AI any engineer can use
AI Any Engineer Can Use
Sharing Knowledge
A Platform for Sharing Knowledge

Ready to get started?

BAE Systems