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Monolith at The Battery Tech Expo 2025​

 

Cut battery test time by 50% with AI.

Silverstone | The Wing | Silverstone Circuit | NN12 8TN
March 26-27 2025
Stand C30-31
battery tech expo

High-Throughput Battery Testing in Practice: Accelerating Development Cycles from Lab to Market​

Wednesday March 26th, 10:40 AM
1556286995877

Michele Paselli is the VP of Product at Monolith AI, leading the company's product strategy and innovation. With a strong engineering and technology background, he drives the development of cutting-edge solutions to meet evolving customer needs. His leadership has been key to Monolith AI's growth and success.

Meet our team  

Have technical demos, chats & consultations at our booth
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Simon Daigneault

Product Marketing Engineer

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Kacper Waniek

Customer Success Engineer

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1516843927525
AJ Elsadig

Enterprise Account Executive

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1556286995877
Michele Paselli 

VP of Product

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1716371982268
Alejo Vila Perea

Business Development 

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About The Battery Tech Expo UK 2025

Battery Tech Expo UK 2025 runs 26 + 27 March 2025 at The Wing, Silverstone, a major hub of the UK’s high-tech engineering sector. The event brings together professionals from across the advanced battery technology and energy storage sector to connect, innovate and do business.
The event will provide a unique opportunity to showcase the latest products, technologies and services covering the Battery Management Systems, EV Battery, Battery Storage, Battery Development/ Discovery, Commercial and Mobile Power Device sectors.

 

About Monolith

 

We enable engineers all over the world to:

 

  • Understand physically intractable problems
  • Fully explore multiple virtual test scenarios
  • Reduce costs and time investment throughout the whole R&D cycle
  • Increase confidence in predictions & recommendations on which tests to run next‍

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 

Trusted by

BAE Systems
Jota
Aptar
Mercedes
Honda
Siemens
gartner

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