Continuous, not uploaded
Equipment readings flow into the platform as they happen, continuously, instead of arriving through manual imports or spreadsheets.
Platform
NeoAI organises your operation in one connected structure and brings live and historical operational data into it, so every team works from the same picture.
NeoAI in one minute
NeoAI is an intelligent energy platform for operators of battery storage and renewable energy sites. It collects readings from the equipment on those sites, organises them against a model of the physical assets, checks them against defined operating limits, and presents the result through role-based dashboards, with early AI assistance (preview) to help explain what is going on.
Not just a telemetry dashboard. Not just an AI chatbot. An energy operations intelligence platform, built for energy operations from day one.
The operating model
You need to know which battery, on which equipment, at which site, and whether that reading is normal. NeoAI ties every reading to the asset, equipment and site it belongs to, described with the same structure everywhere.
Readings can include, for example, power, energy, battery state of charge, temperature and weather conditions, each tied back to the device and sensor that produced it.
From data to intelligence
Connected assets and operational data are real today. The context and insight layer is an early, working preview. Intelligent, automated decisions are where the platform is headed, not where it claims to be today.
Connected operational data
Equipment readings flow into the platform as they happen, continuously, instead of arriving through manual imports or spreadsheets.
Explore hours, days or months of operating history alongside live data. Charts always state how much data you are actually seeing.
Every reading's data quality is shown as OK, insufficient or no data. Missing data is never presented as a reassuring “normal”.
One physical sensor's readings can serve more than one device or system without duplicate hardware. Supported by the platform's data model.
Digital-twin context
The Digital Twin explorer lets you drill down interactively from your organisation to a single sensor reading, or start at any level and work back up.
Each asset carries a Normal, Warning or Critical health status that rolls up, so the level above shows where attention is needed. Status is rule- and threshold-based.
Role-based views
A viewer can look but cannot change anything. How access is controlled
Operational intelligence
Health, trend, data quality and AI opinion are four separate signals, never blended into one. Health always comes from rules; AI adds an opinion beside the facts, never instead of them.
Rule-based Normal, Warning and Critical status for every asset, live.
Early preview
Written observations grounded in real operational data. Use them as a starting point for review.
Roadmap: not available today
Proactive, recommended actions for performance and efficiency. A planned direction, not a current feature.
Clear boundaries
Clear boundaries matter as much as features.
Protective functions stay in your equipment's own control systems. NeoAI observes, records and advises.
Nothing in NeoAI sends commands to your assets. People decide and act.
AI can add context, but it can never override a defined limit or a rule-based health verdict.
Missing readings are shown as missing. When there is too little data, the AI declines rather than fabricating a story.