TWAICE develops AI-supported battery analytics software that provides real-time insights into battery health, safety, and performance, enabling users to optimize operations and extend battery lifespan. The platform allows stakeholders to make data-driven decisions, reducing risks and improving profitability in battery management and energy storage systems.
Funding
Funding not disclosed
Founders
Product
Problem
Understanding the real-time health, performance, and safety of batteries requires extensive and expensive testing, which is often infeasible once the battery is deployed in energy storage systems or electric vehicles. Inaccurate battery data leads to suboptimal operation, increased risk, and reduced lifespan, hindering profitability and sustainability.
Solution
TWAICE provides an AI-powered battery analytics platform that delivers real-time insights into battery behavior, enabling data-driven decisions across the battery lifecycle. The platform uses battery simulation models to accelerate development, mitigate risks with in-depth health and safety data, and optimize operations for maximum profitability and extended lifespan. By providing a single source of truth about battery performance, TWAICE empowers stakeholders in engineering, operations, and finance to de-risk their battery investments and outperform peers.
Target Audience
TWAICE serves battery engineers, data scientists, operations managers, and financial stakeholders in the energy storage, electric vehicle, and utility sectors.
Features
- Battery simulation models for virtual testing of battery cells
- Real-time monitoring of battery health, safety, and performance
- AI-powered analytics for predicting battery degradation and remaining useful life
- Automated tracking and alerting of deviations from optimal operating conditions
- Integration with battery management systems (BMS) and other data sources
- Web-based dashboard for visualizing battery data and generating reports
- API for integrating battery analytics into existing workflows