Newtwen provides embedded digital twin technology for electric drive systems, enabling real-time monitoring, fault identification, and predictive maintenance. This technology facilitates a seamless transition to electrical systems, reducing costs and enhancing operational efficiency in the automotive and automation industries.
Funding
$9.7M 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.
CVJCPA+1Founders
Product
Problem
Electric drive systems lack real-time monitoring capabilities, making it difficult to identify faults early and optimize performance. Traditional methods for managing these systems often lead to inefficiencies and increased costs due to delayed diagnostics and reactive maintenance strategies.
Solution
Newtwen provides an embedded digital twin technology designed for electric drive systems, enabling real-time monitoring, fault identification, and predictive maintenance. Their software platform generates accurate virtual replicas of physical systems, integrating these digital twins directly into the systems to enhance performance, longevity, and reliability. By processing data on the edge, Newtwen's technology reduces the need for extensive cloud data streaming and storage, optimizing the entire process. This approach allows for early fault detection, optimal thermal management, and model predictive control, facilitating a seamless transition to electrical systems.
Target Audience
Newtwen primarily serves the automotive and automation industries, targeting companies involved in the design, manufacturing, and operation of electric drive systems.
Features
- Real-time monitoring of electric drive system performance
- Embedded optimization algorithms for enhanced efficiency
- Fault identification capabilities for proactive maintenance
- Model Predictive Control for improved system responsiveness
- Predictive maintenance features to minimize downtime
- Virtual sensing technology for accurate data collection
- BOM (Bill of Materials) cost reduction through optimized designs
- Early fault detection to prevent major system failures
- Optimal thermal management for increased system lifespan