No-Code AI Workflows
Intuitive notebook interface designed for engineers
Monolith is cloud-based AI software built for engineers. No coding or PhD in statistics is required — just your Engineering expertise and test data.
Notebook UI
Build data processing pipelines in minutes
Choose from a library of steps to quickly assemble sequences to load, explore, transform, and model your data.
Intuitive Dialogs
Configure and train AI models with a few clicks
Select and configure steps in your pipeline using simple dialogs. Through years of working on AI projects with our customers, we’ve optimised our configuration dialogs for simplicity so you can move quickly. Use Advanced Options if you have more experience with data science or need more customisation.
Automated Machine Learning
Try different models to find the best fit
Quickly identify the AI model best tuned for your data and application using the “Help Me Choose” feature to automatically evaluate and rank dozens of options for you
Embedded Training
Get up-to-speed quickly with interactive tutorials
Our interactive tutorials will help familiarize you with Monolith's functionality, guiding you through a series of engineering problems solved with AI.
Customer Support Portal
Lean on our experienced engineers for guidance
Let our Customer Success team of experienced engineers guide you on your AI journey. Access FAQs, our Knowledgebase, and support articles 24/7.
"If your model is in your data, Monolith will find it. Built by engineers for engineers, Monolith helps you make better models faster."
Dr. Ted Duclos, Monolith Advisor and Former CTO at Freudenberg Sealing Technologies
No code software
AI built by engineers for engineers
- Avoid wasted tests due to faulty data
- Build just the right test plan - no more, no less
- Understand what drives product performance and failure
- Calibrate non-linear systems for any condition
Request a demo
In a live demonstration, our engineering specialists will ensure you understand the power of AI and are confident in building self-learning models, so you can learn from your data and instantly predict how your product performs under many design parameters and operating conditions.