Making Batteries
AUTONOMOUS
TrinityBMS is an AI-powered battery software that drives uptime, profitability, and safety — with privacy built in. Designed for all batteries, chemistries, and applications, it adapts in real time to maximize performance across mobility, stationary storage, and aerial systems.
We Solve Battery Integration Challenges Across Industries
From grid to defense to mobility — battery intelligence must adapt to reality.
Revenue Losses in Stationary Storage
In BESS, poor battery software with high inaccuracies leads to reduced uptime and lost revenue per MW annually. These issues drive oversizing, increase cloud and transmission costs, and undermine long-term asset value.
Up to $28,000 lost per MW
10–30% estimation error
20–40% oversizing typical
High cloud and transmission costs
Operational Risk in Defense Applications
In today’s threat landscape, defense systems face not only physical risks but also cyber threats and system vulnerabilities. Battery software must ensure resilience, data integrity, and tactical readiness — even offline.
Cloud dependency in critical missions
No offline resilience
Exposure to data poisoning and cyberattacks
No guaranteed tactical readiness
Inefficiencies in e-Mobility Fleets
Commercial EVs face extreme usage, temperature shifts, and charging variability. Without adaptive software, fleets suffer from inconsistent battery health, increased downtime, and operational inefficiencies.
Unpredictable battery health
Fast charging inefficiencies under dynamic temperatures
Increased fleet downtime
Software not adaptive to driving patterns
Unknown Battery Histories Undermine Circularity
Returned batteries lack usage and health records. Without clear insights, they’re underused or prematurely recycled, wasting valuable second-life potential.
Missing usage records in second-life batteries
Premature recycling of usable batteries
Re-assessment is costly and time-consuming
No lifecycle traceability or certification
Why AI Belongs On‑Board the Battery
Every battery ages differently.
Charging habits, temperature, and load shape each battery’s unique degradation path. To manage this complexity, intelligence must live on the battery itself.
TrinityBMS brings adaptive on-board AI that learns in real time, enabling personalized diagnostics and precise control unlike cloud-based systems that average out critical differences.
The Future of AI Is at the Edge
Cloud AI
Centralized analytics in the cloud
Delayed decisions, reliant on connectivity
One-size-fits-all battery models
Privacy and cybersecurity risks
High data transfer and infrastructure costs
Edge AI
Intelligence runs on-battery
Real-time, adaptive control
Personalized to each battery
Fully privacy-preserving
Works offline, scales easily
How Cognivity Redefines Battery Performance
Reduce latency with on-device processing
Keep your data local and private — no cloud dependency
Get real-time analytics and actionable insights
On device & data security
High-performance machine learning, optimized for edge deployment
Trained on high-fidelity data for accurate system understanding
Enables real-time, data-driven decision-making in dynamic environments
Data Quality
Learns and adapts to each individual battery
Optimizes performance based on real-world usage
Extends lifetime and enhances operational efficiency
Personalized SW
Maximizes energy utilization with minimal system losses
Operates independently — no cloud or data centers required
Increases system efficiency while reducing infrastructure costs
Cost benefits