Static models meet a changing world.
Battery behavior shifts with use and environment. Periodic testing and remote analysis can leave gaps between a model and reality.
DECENTRALIZED BATTERY INTELLIGENCE
AI that lives where the battery works. Learning in real time to unlock greater performance, lifetime, and confidence.
02 / APPROACH
Traditional battery intelligence often depends on sending data away, waiting for analysis, and returning an answer. Cognivity brings adaptive AI onto the battery system itself, where decisions matter most.
03 / ON BOARD
Local intelligence observes changing conditions and responds where they happen. The battery becomes a system that can learn from its own real-world use.
Explore the technology04 / ADAPT
Usage, climate, load, and age change over time. Local intelligence learns from each battery’s real conditions, while selected insights can strengthen a connected fleet.
05 / TRINITYBMS
Our edge AI combines deep learning with first-principles physics to deliver dependable, real-time insight into power, energy, and degradation.
Battery behavior shifts with use and environment. Periodic testing and remote analysis can leave gaps between a model and reality.
Adaptive intelligence runs locally, responding to real conditions and sharing selected insights when they are valuable.
Better insight supports adaptive control, longer lifetime, shorter fast-charging time, and optimized performance.
06 / SCALE
The application changes. The ability to learn from the battery in real time remains at the core.
07 / AUTONOMOUS
When intelligence moves closer to the battery, possibility moves further.
Let’s talk about your application