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
Connect Monolith directly to where your data is stored. Upload and manage raw data files. Call Monolith dashboards and models from your environments.
Feature:
Data Wrangling
Use your domain knowledge to transform your raw data and select the most relevant variables for building and using AI models.
Feature:
Time-Series Data Support
Monolith includes data transformation tools to resample and extract features from time-dependent data, such as sensor measurements.
Feature:
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.
