Getting started
Get started with AI
Solve your most intractable physics problems.
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
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
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
The AI adoption journey: run
- Integrate into the infrastructure
- Productionise AI
- Bring your customers in on the fun!
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?”
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.
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.
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
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
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.
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
Get in touch with Monolith
“The Monolith team understood what it means to work with genuine engineering problems in artificial intelligence: the needed flexibility and knowledge.”
- Joachim GUILIE, Curing performance expert at Michelin
“It's a team with a very good personal relationship.”
“The Monolith AI team is excellent.”
“The best thing about this software is the team. All the team members are experienced and always available to help and solve the issues”
“They are prompt with communication, well organized, really know their stuff, and are good at communicating with non-experts in their field.”
Resources