Off-grid EMS
Real-time energy balancing with no grid to absorb a wrong call.
live link:
year >
industry >
Energy
problem >
The system decides continuously when to charge storage, when to export and when to buy, against dynamic tariffs, production and consumption profiles, state of charge and weather forecast. There is no external supply standing by to absorb a bad decision, and the decision runs on hardware in a cabinet, not in a data centre.
what we did >
A device family from prosumer meter interface to industrial gateway, a mobile app for prosumers and an installer platform for fleet monitoring. Built against EU cybersecurity regimes — NIS2, CRA, RED DA — with data kept in Europe.
result >
The implementation of AI-powered automation freed up valuable time across multiple departments. Employees no longer needed to spend hours managing repetitive operational tasks.
.
01
1 MWh
from 5 kW rooftops to megawatt-hour storage
.
02
30%
more leads
Automated workflows handled lead processing, customer communication, and data synchronization with minimal human involvement. The company gained greater efficiency, faster execution, and the capacity to scale without increasing workload.
Michael Carter
CEO, LAMA Auto
The automations saved our team hours every week. Everything runs smoother and requires far less manual work.
Got some other
questions?
