Getting started

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Solve your most intractable physics problems.

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Get in Touch with Monolith

Getting started with Monolith:

The AI adoption journey

Our team of engineers, software developers, and industry veterans bring decades of combined experience working with the world’s top engineering teams to ensure 100% customer success. We are your trusted partner to use AI to develop the highest quality and best-performing products, faster.

High-touch support and guidance

Built-in tutorials and training

Project experience to deliver success

Crawl
Walk
Run

The AI adoption journey: crawl

Define a problem to start with
Reduce your scope
It’s a team game
Test the capability
Learn a new skill
Work out where to go next

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The AI adoption journey: walk

Expand your problem scope to other areas
Start standardising your data
Improve your models
Embed AI in your workflow
Share your journey with others and grow your team

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The AI adoption journey: run

Integrate into the infrastructure
Productionise AI
Bring your customers in on the fun!

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Ensure battery design quality & safety using AI

With the power of AI, you can model battery performance across the design space with a fraction of a traditional test plan. Using the Next Test Recommender, you can apply multiple machine learning algorithms at once to chart your testing path using the fewest steps possible incrementally.

Predict the critical tests to run

Test too much and you waste time confirming what you already know. Test too little and you risk missing performance issues. Schedule, quality, and your career depend on finding the balance.

Run the most important tests and skip the rest
Optimize resources spent on costly test rigs and facilities
Validate your designs faster with fewer prototype iterations

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Technical requirements for AI

Methods to capture and store data

When it comes to adopting Artificial Intelligence (AI) for engineering applications, one question that is always asked is “how much data do I need?”

Find out here

Finding the right AI use case for you

Companies are not using AI because they don’t understand what it can be used for or don’t see a clear application in their work.

Companies that attempt to use AI often fail due to misunderstanding AI and its applications. We help you find your ideal use case for AI.

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Organisation structure: assigning a champion

AI has become a mainstream topic in product design and engineering. Monolith is helping all types of engineering companies to understand how ready they are for AI, to take those first steps towards adoption, and to realise its benefits at scale.

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Welcome pack

Download our customer welcome pack to learn more about:

project teams
how to find a great use case
introductions to typical use cases
information around data needs & feasibility
success metrics
...and more!

Get your welcome pack

Solving complex physics across aerospace and defence, automotive, and industrial sectors

Customer success: onboarding, training & value-focused projects

IT installation options & security credentials

Customer service management via our user-friendly support portal

Research collaboration opportunities through enlisting our data science team & product research

Software security credentials

ISO 27001 Certified
GDPR Compliant

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Get in touch with Monolith

Resources

Learn how to get started with Monolith, and find out how we empower engineers to use AI

The evolution of battery modelling: From electrochemical to data-driven approaches

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The risks of DIY software development in engineering

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Get the most ROI from AI in validation testing: 4 applications

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The Confusion Matrix: What you need to understand before training your prediction models

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Getting started

Get started with AI

Getting started with Monolith: