Eatron offers AI‑powered battery optimisation software that provides highly accurate state‑of‑charge, health, and remaining‑useful‑life estimates for lithium‑ion batteries. The platform runs at the edge or in the cloud, delivering real‑time safety monitoring, fault detection, and adaptive charge‑discharge control to extend battery life and improve performance across automotive, light‑mobility, off‑highway, and energy‑storage applications.
Funding
$25.1M 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.
OFounders
Product
Problem
Battery packs in electric vehicles and other lithium‑ion applications are costly, and failures or inefficient operation can add thousands of dollars to each unit and reduce overall return on investment. Inaccurate state‑of‑charge and health estimation leads to safety risks, shortened lifespans, and sub‑optimal performance across automotive, light‑mobility, off‑highway, and energy‑storage sectors.
Solution
Eatron provides AI‑powered battery optimisation software that delivers precise state estimation and advanced control for lithium‑ion batteries. The platform runs at the edge or in the cloud, converting raw battery data into actionable intelligence through deep learning models and digital twins. By continuously monitoring safety parameters and predicting degradation, the software extends battery life, improves performance, and reduces the risk of costly failures. Its flexible integration supports all major chemistries (NMC, LFP, LTO) and can be deployed directly within vehicle systems or as part of larger energy‑storage management solutions. Customers receive real‑time analytics and control loops that enhance efficiency and protect their assets throughout the battery’s operational life.
Target Audience
Primary customers are OEMs, battery manufacturers, and system integrators in the automotive, light‑mobility, commercial vehicle, off‑highway, and energy‑storage markets seeking to improve battery safety, longevity, and performance.
Features
- AI-driven state‑of‑charge, state‑of‑health, and remaining‑useful‑life estimation with best‑in‑class accuracy
- Real‑time safety monitoring and fault detection to prevent catastrophic failures
- Adaptive control algorithms that optimize charge/discharge cycles for extended battery lifespan
- Edge‑to‑cloud architecture allowing deployment on vehicle‑level hardware or centralized cloud platforms
- Support for multiple lithium‑ion chemistries (NMC, LFP, LTO) across automotive, light‑mobility, off‑highway, and grid‑scale applications
- Digital twin models that simulate battery behavior and enable predictive maintenance