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Monumo

Monumo develops a multi-physics simulation engine, Anser, that utilizes machine learning to optimize electric motor designs for electric vehicle powertrains. By conducting one million simulations daily, Monumo enhances motor efficiency, addressing the significant energy consumption of electric motors that account for half of the world's electricity usage.

Cambridge, United KingdomFounded 2021351K+ followers
Updated 20 months ago

Funding

$13.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

IU
Funding rounds are not available yet.

Founders

Product

Problem

Electric motors consume a significant portion of global electricity, and optimizing their design is crucial for improving energy efficiency, particularly in electric vehicle powertrains. Traditional motor design processes are often time-consuming and rely on iterative physical prototyping and testing.

Solution

Monumo offers Anser, a multi-physics simulation engine that leverages machine learning to accelerate and optimize electric motor designs. Anser conducts millions of simulations daily, exploring a vast design space to identify optimal motor configurations. This approach enables engineers to rapidly improve motor efficiency, reduce energy consumption, and enhance overall powertrain performance for electric vehicles. The platform's machine learning capabilities allow it to learn from simulation data and predict the performance of new designs, significantly reducing the need for physical prototypes.

Target Audience

Monumo's primary customers are electric vehicle manufacturers and automotive suppliers involved in the design and development of electric powertrains.

Features

  • Multi-physics simulation engine for comprehensive motor analysis
  • Machine learning algorithms for design optimization and performance prediction
  • Automated simulation pipeline capable of running one million simulations per day
  • Rapid exploration of design space to identify optimal motor configurations
  • Integration with existing CAD and CAE tools
  • Cloud-based platform for scalable computing and data storage
This profile is AI-generated and may contain inaccuracies.