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Scalable cloud platform  

Scale AI solutions for the engineering enterprise 

 

BMW
BAE Systems
Mercedes
Honda
Siemens
Kautex-Textron
Michelin
Aptar
Jota

 Cloud-based platform to scale for large datasets, advanced computing, and collaboration across your teams.

 

Built for the cloud, Monolith is more than just a productivity tool for your engineers - it scales to handle more data and advanced computing as your applications grow.  Your engineers can retain and share their findings with interactive dashboards, or integrate AI models with tools in your engineering workflow using an API.  We handle the infrastructure details so you can focus on finding a solution with your data.  

flexible Working
Share Solutions Across Teams
trusted
Secure Scalability for Large Datasets
it installation
Integrate into Engineering Workflows 
Cloud-based environment 
Scale your solutions for large data and computing power 

Log-in through your web browser, access shared notebooks and dashboards, and build your own AI solutions that benefit from scalable cloud-based compute power and data handling.   

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teams and permissions ai platform monolith
Teams and permissions 
Structure your work in a safe, secure environment

Create a dedicated space for your team teams to organise and isolate data, notebooks, and models from others.  Your models and data are protected with the security measures you expect:  user logins, two-factor authentication, role-based access, data encryption, ISO 27001 compliance, and more.  

Dashboards 
Retain and share knowledge 

Share the models you develop with your colleagues or clients through custom interactive dashboards to make your solutions interpretable and reusable. 

Dashboard - Vehicle Benchmarking (1)
API Guide
Integration APIs 
Deploy your solutions to production 

Plug your models into the engineering workflow using APIs. Integrate with your test systems to automate data inspection, test plan optimisation, and calibration procedures.   

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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 the time and effort on battery validation  
  • 66% say it's imperative to reduce physical testing while still meeting quality and safety standards
  • 62% indicate virtual tools, including simulation, do not fully ensure battery designs meet validation requirements
*A commissioned study conducted by Forrester Consulting on behalf of Monolith
Download study
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Using Monolith AI software, we have now solved our most intractable, previously unsolvable physics problems.

-Dr. Alin Petcu, Global Lead of Virtual Validation Projects at Kautex Textron 

Other platform features

Self Learning
Product overview
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Complement existing workflows
Engineering-specific algorithms
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Sharing Knowledge
Scalable SaaS platform
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Sharing Knowledge
AI consulting and implementation
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Ready to get started?

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Speak to our team
BAE Systems
Jota
Aptar
Mercedes
Honda
Siemens