• Two companies to provide a value-add technical offer for automotive OEMs and Tier 1 suppliers involved in battery and powertrain development.
  • Agreement gives Monolith access to HORIBA MIRA’s in-house R&D battery test data to train and enhance Anomaly Detector (AD) and Next Test Recommender (NTR) algorithms.
  • HORIBA MIRA’s data-driven solutions will integrate Monolith tools to reduce need for expensive prototype vehicles and time required for powertrain development.
  • Claims ombined offer will provide a complete system-level optimisation toolchain, accelerating the development of sustainable transport through data-driven insights.

Monolith has been selected by automotive engineering consultancy HORIBA MIRA as its AI partner for data-driven battery and powertrain development and testing.  

Related Company Profiles

View all

The two parties say the partnership will provide a value-add technical offer for existing HORIBA MIRA and Monolith customers, as well as an ‘attractive option for other OEM vehicle manufacturers and Tier 1 battery suppliers looking to enhance their development process’.

The agreement gives Monolith access to HORIBA MIRA’s in-house R&D battery test data to train and enhance its Anomaly Detector (AD) and Next Test Recommender (NTR) algorithms and demonstrate how the technology works at scale.

At the same time, HORIBA MIRA’s advanced cloud-based data driven solutions will integrate Monolith’s tools to further advance its current product offerings. Its well-proven data driven digital twins, calibration optimisers and global real-world scenario generators provide an eco-system for efficient virtual development and testing, reducing the need for expensive prototype vehicles and time required to develop optimised calibrations for batteries and other powertrains.

The combined offer will provide a complete system level optimisation toolchain, accelerating the development of sustainable transport solutions through data-driven insights.

How well do you really know your competitors?

Access the most comprehensive Company Profiles on the market, powered by GlobalData. Save hours of research. Gain competitive edge.

Company Profile – free sample

Thank you!

Your download email will arrive shortly

Not ready to buy yet? Download a free sample

We are confident about the unique quality of our Company Profiles. However, we want you to make the most beneficial decision for your business, so we offer a free sample that you can download by submitting the below form

By GlobalData
Visit our Privacy Policy for more information about our services, how we may use, process and share your personal data, including information of your rights in respect of your personal data and how you can unsubscribe from future marketing communications. Our services are intended for corporate subscribers and you warrant that the email address submitted is your corporate email address.

Dr. Richard Ahlfeld, CEO and Founder of Monolith, said: “This partnership combines leaders in physical and AI-driven test and validation processes. The complementary tools and expertise of Horiba Mira and Monolith will accelerate battery development and cut testing in half for our joint clients using data-driven techniques.”

Guy Foulger, Engineering & Technology Director, HORIBA MIRA, added: “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.

Working with Monolith, the leading machine-learning platform for engineering, HORIBA MIRA will bring almost 80 years of automotive engineering and test experience to  enhance the development of sustainable transport solutions, leveraging the power of machine learning, AI and high-fidelity data-driven insights.”

Monolith says it is already democratising AI for engineering with its bespoke SaaS platform that uses no-code, machine-learning software, giving domain experts the power to leverage existing, valuable testing datasets for their product development. The platform analyses and learns from this information, using it to generate accurate, reliable predictions that enable engineering teams to reduce costly, time- intensive prototype testing programmes.

Integrating highly effective innovations such as a ‘Next Test Recommender’ tool and the industry’s first AI-powered ‘Anomaly Detector’ functionality, Monolith provides engineers with ‘intelligent solutions to develop higher-quality products in half the time’.