Our Technology
Envol Energy has developed a predictive AI system that understands how electricity is being generated, stored and used at a local level, then determines how connected batteries should respond.
By combining real-time data, advanced forecasting and intelligent control, our system can anticipate changing local energy needs, identify emerging network constraints and continuously optimise when electricity should be stored, deployed or retained.
The result is a decentralised storage network that responds to hyper-local conditions while contributing to a smarter, more resilient, and cost-effective national grid.
Predictive AI for local grid management
The UK’s electricity grid is becoming increasingly strained.
The increasing uptake in the use of electric vehicles, heat pumps, renewable generation and battery storage are creating new and rapidly increasing demands on local electricity networks. Concentrated local demand spikes are straining the grid and could cause power cuts and substation fires. These changes are not happening evenly across the electricity network and conditions can vary significantly between neighbouring communities, substations and developments.
DNOs currently have no way to actively manage the local grid, and face £50B upgrade to meet 2050 needs:
2x more consumer electricty demand
17x more EVs on the road
60x more domestic heat pumps
Real-time intelligence and monitoring can show what is actually happening.
Envol’s technology is designed to show how community energy is being used in real-tim, predict future usage changes, and determine how connected energy assets should respond.
Our predictive AI system continually analyses local demand, renewable generation, battery availability, network constraints and market conditions. It then uses this intelligence to make real-time decisions about when connected batteries should charge, store, release or retain electricity, saving £Bs.
How the system works
Local network orchestration is needed.
The grid needs local management, rather than a top-down approach. Our predictive AI system, installed at the grid edge, manages local assets to provide infrastructure-grade virtual reinforcement, saving £Bs.
Real-time local data
Our platform receives data from connected batteries, local electricity infrastructure, renewable generation, energy markets and other relevant sources.
This creates a continually updated picture of how energy is being generated, requested, stored and used within a local area
Predictive modelling
Envol’s AI models forecast:
Local electricity demand
Energy generation and asset availability
Network constraints
Market coniditions
By looking ahead, the system can prepare for changing conditions rather than responding only after pressure has already developed.
Intelligent decision-making
Within agreed technical and commercial parameters, the system determines when each connected battery should:
Charge, store, and release electricity
Retain capacity for local grid support
Support participation in energy and flexibility markets
These decisions are continuously reassessed as local conditions change.
Continuous optimisation
Our predictive AI system is not restricted by a fixed operating schedule.
It continually evaluates demand, generation, network conditions, asset availability and market signals, adjusting battery behaviour in real time to achieve the most effective local response.
Intelligence at the grid edge
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Traditional grid-scale battery storage projects concentrate large amounts of storage in a small number of locations.
Envol takes a more distributed approach.
Our technology connects individual community-scale batteries into an intelligently coordinated network. Each asset can respond to the needs of its local area, while the wider network can provide aggregated flexibility and grid value.
This means storage can be placed closer to the homes, developments, renewable assets and local infrastructure creating demand.
The decentralised network combines:
Hyper-local visibility
Local network response
Coordinated battery operation
Aggregated flexibility
Wider grid support
The intelligence layer allows distributed batteries to operate as more than isolated assets. Together, they become a flexible and scalable local energy network.
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Our technology does not depend on a single battery manufacturer or fixed hardware configuration.
The system is designed to integrate with compatible battery systems from different manufacturers, allowing Envol to support both newly deployed and existing assets.
Where communities, authorities or developers do not already have suitable battery infrastructure, Envol can provide an integrated system using our own proven battery solution.
Where compatible batteries are already installed, Envol’s intelligence can be integrated to improve how those assets are operated and coordinated.
This gives our partners a more flexible route into intelligent local energy management and allows the network to scale across different sites, technologies and ownership models.
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Our predictive intelligence system is operational and has been deployed across several pilot projects.
The technology is being deployed in live electricity networks, physical battery assets and real operating conditions. The purpose of these projects is not simply to analyse energy data, but to make reliable decisions that improve how local energy assets perform.
Our system brings together:
Advanced time-series forecasting
Edge computing
Digital modelling
Real-time control
Integrated software and hardware
Energy market optimisation
Local network intelligence
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Our team brings experience in building and deploying AI systems that interpret complex, real-time data and translate it into practical decisions.
This includes experience from VivaCity, where AI-enabled sensing and data systems have been used to help cities, transport authorities and public bodies understand movement and make better infrastructure decisions.
Envol applies a similar underlying principle to energy: using high-quality local data, predictive intelligence and real-time control to understand how a complex system is behaving and determine what should happen next.
The team’s experience spans:
Artificial intelligence
Internet of Things systems
Edge and cloud architecture
Integrated software and hardware
Real-time data processing
Large-scale infrastructure deployment
Envol Energy’s technology is deployed alongside the batteries and local infrastructure it controls.
This edge-based architecture allows our system to process local information and make rapid operating decisions without relying entirely on centralised instructions.
By combining local monitoring, predictive intelligence, and closed-loop control, our intelligent system can respond to the specific conditions affecting each community while coordinating assets across a wider network.
This helps to create a resilient national energy system that is locally responsive, scalable and designed for real infrastructure.
Explore the future of intelligent local energy management
Speak to Envol about investment, technical collaboration or deploying predictive intelligence across distributed battery assets.