AI is transforming how we develop and test EV batteries - but what does this mean for the industry? We are excited to share insights from our CEO, Dr. Richard Ahlfeld, and his recent feature with the World Economic Forum, where he discusses how machine learning is revolutionising battery testing and development in the EV sector and where we are in terms of trusting machine learning in engineering. Access the full article here: https://lnkd.in/dy4ks_2b #wef25
Monolith
Software Development
London, England 15,902 followers
Using machine learning to solve real engineering problems.
About us
Monolith is trusted by the world’s top engineering teams to build self-learning models that empower your engineers to do less testing, more learning, and develop better quality products in half the time. Our end-to-end cloud platform enables any engineer to use their test data and expertise to solve intractable physics problems. It's designed by engineers, 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 of how your design performs under different conditions. Find optimal values for key design parameters to meet performance targets and regulatory requirements. Monolith was founded in 2016 by Dr. Richard Ahlfeld, born from his PhD at Imperial College London and NASA. Boosted by joining the FoundersFactory 6-month Accelerator Programme in January 2018, he built a diverse team of engineers, data scientists, and software developers to achieve his company vision. Monolith was named a Gartner Cool Vendor for AI in Automotive.
- Website
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http://www.monolithai.com
External link for Monolith
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- London, England
- Type
- Privately Held
- Founded
- 2016
- Specialties
- Artificial Intelligence, Aerospace Engineering, Automotive Engineering, Mechanical Engineering, deep learning, testing, batterytesting, battery, Test Plan Optimisation, EV battery, battery reliability, battery safety, product validation, EV design, Engineering Testing, Engineering Validation, and Engineering AI
Products
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Monolith
Simulation Software
We empower engineers to use AI to solve even their most intractable physics problems. By 2026, we will empower 100,000 visionary engineers to use AI to cut their product development cycle in half.
Locations
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Primary
Get directions
201 Borough High Street
Fora Offices
London, England SE1 1JA, GB
Employees at Monolith
Updates
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Monolith reposted this
Alongside Monolith AI, we are heading to Las Vegas for the world’s most powerful tech event - the Consumer Electronics Show (CES)! Visit us at Booth #5777 to meet our teams and discover how cutting-edge engineering at both the component and vehicle levels is being revolutionized by AI and Data Science. We will showcase our Pentatonic Composite Battery Enclosure Technology alongside a 100k-mile Durability Demo Vehicle. This vehicle is equipped with an array of advanced sensors that capture NVH (Noise, Vibration, and Harshness) data in real time. In collaboration with Monolith AI, we leverage cloud-based analysis to process this data seamlessly, as it is directly transmitted from the vehicle to the cloud. This approach not only ensures superior data quality but also provides in-depth, in-situ insights into the performance of our composite technology. Don’t miss the chance to see how we’re pushing innovation to the next level— stop by and chat with us! #KautexTextron #MonolithAI #Pentatonic #DataScience #AI #CES2025
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We've analysed the data, and our paintings have a 99.9% chance of not appearing in any museums. But our team building score? Off the charts! Here's what happens when the Monolith team swaps keyboards for paintbrushes... View our open roles: https://lnkd.in/eXvWFBFg
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Are you keeping up with the revolutionary shifts in battery testing? 🔋 In 2024, we've seen testing methodologies transform completely - from advanced cell formation techniques to real-time performance analytics. And 2025? It will bring even more groundbreaking innovations that could reshape the entire industry. Stay caught up on the latest developments. Our comprehensive white paper breaks down: - The game-changing trends of 2024 - Critical innovations coming in 2025 - What these changes mean for your testing operations Access the white paper here: https://lnkd.in/e56vymg3 #BatteryTechnology #battery #ev #energystorage
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Exciting developments are happening in solid-state battery research, and we're bringing together experts to unpack the latest insights. Join us next Wednesday for an exclusive webinar on accelerating solid-state battery development. Our CEO Richard Ahlfeld, Ph.D., and data scientist Júlio Arend will share practical strategies to increase the testing process in battery labs. Date: 11th December 2024 Time: 11:00 PST | 14:00 ET | 19:00 UTC Register here: https://lnkd.in/eUF6bTFa #solidstate #webinar #solidstatebatteries #battery
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Monolith reposted this
We're pleased to confirm a partnership between HORIBA MIRA and artificial intelligence software experts, Monolith, that will provide new data-driven battery testing capability to OEMs and Tier 1 suppliers developing battery and powertrain solutions. 🤝 The collaboration will integrate Monolith's proven AI tools into our digital twins, calibration optimisers and global real-world scenario generators, creating a complete system-level optimisation toolchain that will support the accelerated development of battery-powered sustainable transport through data-driven insights. 🚙⚡️ Guy Foulger, HORIBA MIRA's Engineering & Technology Director, said: "As global automotive companies move towards a stronger focus on virtual development, partnerships which enhance our physical and virtual engineering capability are key to supporting customers with the robust tools they need." Read the full story ➡️ https://lnkd.in/esdTY3DP #SmarterJourneys #CleanerJourneys
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We’re thrilled to announce an exciting new partnership with HORIBA MIRA, an automotive engineering and testing leader, to revolutionise battery and powertrain development through artificial intelligence. This collaboration marks a new chapter in our shared mission to accelerate sustainable transport solutions. By combining HORIBA MIRA’s advanced engineering expertise with Monolith’s innovative AI-powered tools, we aim to deliver transformative solutions for automotive OEMs and Tier 1 suppliers. Through this partnership, Monolith will gain access to HORIBA MIRA’s extensive R&D battery test data to enhance our Anomaly Detector (AD) and Next Test Recommender (NTR) algorithms. Meanwhile, HORIBA MIRA will integrate Monolith’s technology into its cloud-based virtual development ecosystem, reducing reliance on costly prototype vehicles and shortening development timelines. “As leaders in physical and AI-driven testing, this partnership allows us to bring together complementary strengths to help our clients cut testing in half and accelerate development using data-driven insights,” says Dr. Richard Ahlfeld, CEO and Founder of Monolith. Together, we’re proud to create an end-to-end optimisation toolchain that supports the global shift towards cleaner, more sustainable transportation.
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We are delighted to announce that Monolith has made the TechRound 100 list, an exclusive list recognised by VCs, investors, journalists and industry leaders. A big thanks to our team and their continued work on improving the state of engineering and bringing machine-learning solutions to engineers worldwide for more efficient product validation testing. Are you interested in learning more about our mission? Read the TechRound feature: https://lnkd.in/eh2ZiAJu
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Unlocking Hidden Insights: Multivariate Anomaly Detection in Engineering Our latest white paper reveals game-changing strategies for detecting complex errors in engineering datasets. Key Highlights: - Advanced techniques for identifying "hidden" anomalies in test data - Innovative approaches for analysing intricate relationships across multiple data channels - Methodologies tailored to different data types in test labs Engineers are revolutionising problem detection with AI-powered solutions. Dive deep into cutting-edge anomaly detection techniques that can transform your engineering workflows. Access here: https://lnkd.in/gRVh_pBa #ArtificialIntelligence #EngineeringInnovation #DataScience #MachineLearning