Monolith AI offers an optimized solution for battery testing, leveraging artificial intelligence to effectively understand and predict battery performance. With AI integration, it assures a significant reduction in testing time without compromising coverage or safety. The platform aids users in accurately modeling and predicting battery performance, reducing battery validation from months to weeks, and shortening product development duration substantially. Through the power of AI, Monolith AI ensures battery design quality and safety and provides the Next Test Recommender to pave the testing path with minimal steps.
- Next Test Recommender: Monolith AI provides a cutting-edge feature that uses multiple machine learning algorithms to recommend the next test in the sequence, potentially reducing testing by 30-60%.
- Human-in-the-Loop Active Learning: The platform enables domain experts to optimize test plans for complex products in the automotive, aerospace, and industrial sectors.
- No-Code AI Software: Constructed by engineers for engineers, Monolith AI saves time wasted on faulty data and elucidates the factors driving product performance and failure.
- Calibration for Non-Linear Systems: The platform is capable of calibrating non-linear systems for any condition, providing a wider operational range for products.
- Industry Recognition: Monolith AI is trusted by top engineering teams across the globe, including BMW, Honeywell, and BAE.
Monolith AI offers an optimized solution for battery testing, leveraging artificial intelligence to effectively understand and predict battery performance. With AI integration, it assures a significant reduction in testing time without compromising coverage or safety. The platform aids users in accurately modeling and predicting battery performance, reducing battery validation from months to weeks, and shortening product development duration substantially. Through the power of AI, Monolith AI ensures battery design quality and safety and provides the Next Test Recommender to pave the testing path with minimal steps.
- Next Test Recommender: Monolith AI provides a cutting-edge feature that uses multiple machine learning algorithms to recommend the next test in the sequence, potentially reducing testing by 30-60%.
- Human-in-the-Loop Active Learning: The platform enables domain experts to optimize test plans for complex products in the automotive, aerospace, and industrial sectors.
- No-Code AI Software: Constructed by engineers for engineers, Monolith AI saves time wasted on faulty data and elucidates the factors driving product performance and failure.
- Calibration for Non-Linear Systems: The platform is capable of calibrating non-linear systems for any condition, providing a wider operational range for products.
- Industry Recognition: Monolith AI is trusted by top engineering teams across the globe, including BMW, Honeywell, and BAE.