Zitara provides on‑premise software that processes raw cell‑level data from utility‑scale battery storage systems to deliver high‑precision real‑time signals such as State of Power, Energy, Health, and Charge. By continuously monitoring each cell, automatically balancing racks, and forecasting short‑term energy availability with its LookAheads™ engine, the platform improves asset availability, enables more aggressive dispatch strategies, and prevents surprise shutdowns for utilities and large‑scale storage operators.
Funding
$17M 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.
3OFounders
Product
Problem
Battery management systems in utility‑scale and commercial energy storage often provide inaccurate state of charge and health estimates, fail to account for degradation, and cannot predict cell imbalances or safety risks. These errors lead to conservative operation, unexpected shutdowns, and reduced asset availability, increasing costs and limiting participation in energy markets.
Solution
Zitara delivers on‑premise software that ingests raw cell‑level data (voltage, current, temperature) from existing battery assets and generates precise real‑time control signals such as State of Power, State of Energy, State of Health, and State of Charge. The platform continuously monitors each cell, balances racks based on accurate diagnostics, and forecasts energy availability with its LookAheads™ algorithm. By replacing error‑prone signals from legacy BMS, Zitara enables operators to optimize dispatch, extend battery life, and avoid surprise shutdowns. The solution is offered as a compiled C library for embedded microcontrollers or as an edge integration compatible with NERC CIP Level 2 dispatch systems, supporting all major battery chemistries.
Target Audience
Primary customers are utilities, independent power producers, and operators of large‑scale battery energy storage systems that require accurate real‑time battery diagnostics and optimized dispatch control.
Features
- Cell‑level data processing that produces high‑precision State of Power, Energy, Health, and Charge signals
- Continuous monitoring and automatic rack‑level balancing to reduce downtime and improve availability
- LookAheads™ forecasting engine that predicts short‑term energy and power availability for aggressive trading strategies
- Predictive safety analytics that detect anomalies and potential failure modes before incidents occur
- Dual deployment options: embedded C library for microcontrollers and edge integration for real‑time dispatch control
- Chemistry‑agnostic algorithms compatible with lithium‑ion, LFP, and other battery types