Product Overview

No-code AI software built for engineers.

End-to-end cloud platform enables any engineer to use their test data and expertise to solve intractable physics problems. ​​

Dashboard - Vehicle Benchmarking
BAE Systems

Monolith:  Designed for engineers.  Scalable across your organisation.  Proven partner for your success.  

AI is not a passing fad, it's here to stay.   Companies that embrace AI and machine learning quickly can accelerate new products to market, reduce testing time while increasing coverage, and bypass their competition.  It won't be easy.   You need tools designed for engineers and built for scale.  And a partner who knows how engineering works.   Monolith can speed your team up the learning curve to realise value and true productivity faster.  

AI Tools for Engineers
Get Up Speed with AI Tools for Engineers
Shorten Product Development
Scale Your Solutions with the Cloud
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Move Faster with a Trusted Partner

An AI workbench designed for Engineers.

  • Quickly design AI pipelines and train models without advanced programming or data science experience 
  • Understand how your design works and which parameters are most influential on performance 
  • Use AI self-learning models to make predictions on how your design performs under different conditions 
  • Find optimal values for key design parameters to meet performance targets and regulatory requirements 

  • Analyse, visualise, and transform your data using intuitive charts, graphs, and analysis routines 
  • Apply advanced AI models for solving engineering and test challenges including optimising test plans, inspecting data, and calibrating systems 
  • Make predictions on time-series waveforms using specially designed AI models 
  • Take advantage of cloud scale for big data and advanced computing power without requiring IT resources, data engineers, or DevOps teams 
  • Build interactive dashboards to share knowledge and outcomes with colleagues 
  • Integrate AI models into your engineering workflow with APIs 
  • Partner with our experienced services team to guide your team through the AI adoption journey 
  • Learn from best practices and common pitfalls from more than 300 AI projects with top engineering teams
  • Upskill your team with customised AI training and consulting from our experienced engineers   
How it Works 

Learn how Monolith works with your data

  • Import data from files or databases 
  • Explore your data with analytics and visualization tools 
  • Transform your data for optimal AI modelling 
  • Model your designs using powerful AI algorithms 
  • Evaluate different modelling options for best performance and accuracy 

Why use Monolith's no-code AI platform?

Reduce Tests to Run_Kautex_laptop
Test Plan Optimsation 

 Using test data to train advanced machine learning models, you can analyze product behaviour to find the most critical test conditions required to validate your design.   

  • Run the most important tests and skip the rest 
  • Optimise resources spent on costly test rigs and facilities 
  • Validate your designs faster with fewer prototype iterations  
Test Data Validation 

Apply powerful AI models to your raw measurement data to automatically inspect for errors.  One failed sensor or wiring malfunction can render thousands of dollars in testing useless. Stop wasting your engineers’ valuable time on manual inspection of test data. 

  • Find outliers in your data fast with intuitive visualization 
  • Catch bad data now to avoid re-engineering later 
  • Ensure your data is clean and accurate for optimal AI modelling 
avoid wasted tests_Dashboard Kistler
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Root-Cause Analysis 

Pressure on engineers is high to identify critical parameters causing failure, quickly analyze the root cause, and predict how the product will perform in changing conditions.  Using AI models of your design, you can gain deeper understanding of key factors that may be causing failures. 

  • Predict what design changes are most likely to fix failures
  • Identify components causing suboptimal performance 
  • Avoid long delays and uncertainty in the validation process 
System Calibration 

Designing highly complex, non-linear systems that must meet stringent performance standards or regulatory requirements is a challenge.  Predicting which combination of inputs will deliver the optimal output, in all operating conditions, is next to impossible. With AI self-learning models, you can apply powerful optimization algorithms to calibrate performance parameters for key conditions.   

  • Calibrate complex dynamic systems faster and more accurately 
  • Ensure your system or product performs to specifications in all conditions 
  • Find best-fit values across 1000s of input ranges and operating conditions 
Test for Thousands of conditions_Honeywell_3
*A commissioned study conducted by Forrester Consulting on behalf of Monolith

It is imperative to get to market faster.

You need to get to market faster with revolutionary new EV batteries but you can't rely on your current methods of physical testing and simulation. 

In our 2024 study, 58% say AI is crucial to stay competitive. Here are other highlights:


  • 64% believe it's urgent to reduce battery validation  
  • 66% say it's imperative to reduce physical testing
  • 62% indicate virtual tools don't fully ensure designs meet validation requirements

Monolith AI Features

Self Learning
No-Code AI for Engineers

Use your engineering data to create accurate self-learning models, deploy AI models, and quickly understand and instantly predict the performance of your complex system - no advanced programming experience or PhD in data science required.

AI any engineer can use
Engineering-Specific Algorithms

Monolith includes unique AI algorithms to solve specific engineering and validation challenges based on more than 300 AI projects with top engineering teams.  Get to market faster with AI tools custom-tailored for engineering test challenges.

Complement existing workflows
Scalable SaaS Platform

Monolith is a cloud-based application that scales for your data and computing power needs.  Share your knowledge with teammates through collaborative dashboards and integrate them into existing engineering workflows to accelerate product development and testing. 

Sharing Knowledge
AI Consulting and Implementation

Adopt best practices through AI training and guidance from our experienced services team.  Upskill and complement your team to ensure success in adopting AI in your engineering process. 

On-Demand Webinar

Battery testing with AI: 
Build a more efficient test plan you can trust

In the first part of the EV webinar series, we reviewed the latest research on using AI models to significantly reduce the testing needed for EV batteries.  In this follow-up webinar, we’ll show how to implement these concepts using Monolith software.  




"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


Our Industries


Top Monolith industries

Monolith AI empowers engineering domain experts in automotive, aerospace, and industrial markets to reduce expensive, time-intensive testing, reduce risks to product performance and quality, and cut product development time.

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Aerospace & Defense
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