Provides a cloud-based predictive battery analytics platform that uses AI to monitor and optimize the performance, safety, and lifespan of lithium-ion battery systems. By analyzing data from over 4 GWh of managed battery storage, it helps industries like energy, automotive, and maritime reduce downtime, improve state-of-charge accuracy, and extend battery lifetime by up to 25%.
Funding
$18.6M 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.



BBHAFounders
Product
Problem
Lithium-ion battery systems are complex and generate vast amounts of data, making it difficult to ensure optimal performance, safety, and longevity. Inaccurate state-of-charge estimations, system imbalances, and undetected power conversion system (PCS) anomalies can lead to underperformance, downtime, and safety risks. Traditional single-site monitoring solutions often fail to identify subtle trends and anomalies across large battery fleets, hindering proactive maintenance and informed operational decisions.
Solution
ACCURE Battery Intelligence offers a cloud-based predictive battery analytics platform that leverages AI and machine learning to monitor and optimize lithium-ion battery systems. The platform aggregates and analyzes data from over 5 GWh of managed battery storage, identifying trends and anomalies that are undetectable by conventional monitoring systems. By providing early warnings for unsafe behavior and performance degradation, ACCURE enables users to prevent incidents, reduce downtime, and improve state-of-charge accuracy. The platform also offers on-demand aging predictions, facilitating informed business strategies and augmentation planning.
Target Audience
The primary target audience includes energy companies, automotive manufacturers, fleet operators, and maritime organizations that deploy and manage lithium-ion battery systems.
Features
- Predictive analytics platform leveraging AI and cloud computing to monitor Li-ion battery fleets
- Battery safety analytics providing early warnings for unsafe behavior
- PCS Analytics™ to detect power-conversion system anomalies before they become failures
- On-demand aging predictions for informed business and augmentation strategies
- Task management system for streamlined alert handling and resolution
- Data-driven insights to address inaccurate state-of-charge (SOC) estimations
- Identification of commissioning issues and system imbalances
- Support for various applications including automotive, bus fleets, energy storage, and maritime