Manage energy
smarter

The AI energy management platform that connects every device, optimizes in real time, and executes locally.

ConnectModelOptimizeAutomate

Reduce energy cost

AI-driven optimization cuts waste and lowers your energy bills automatically.

Increase solar self-consumption

Use more of the energy you generate instead of exporting at low feed-in rates.

Orchestrate batteries & EV charging

Coordinate storage dispatch and vehicle charging with tariffs and site limits.

Automate locally

SparkEdge executes decisions at the site — no cloud roundtrip required.

Connect mixed devices

One data model for every brand, protocol and device type — unified through the DAL.

THE PROBLEM

Why current energy systems fail

Distributed energy is growing faster than the tools designed to manage it. The result: wasted generation, missed savings, and fragile automation.

01

Too many devices

Sites run solar inverters, batteries, EV chargers, heat pumps and meters from different vendors — none designed to talk to each other.

02

Vendor silos

Each manufacturer offers its own app and cloud portal. Data stays locked in proprietary dashboards that cannot cross-optimize.

03

Cloud-only control is fragile

When the internet drops, cloud-dependent systems lose the ability to react. Critical decisions cannot wait for a roundtrip to the cloud.

04

Different protocols & datasheets

Modbus RTU, Modbus TCP, MQTT, OCPP, BACnet — every device speaks a different language with different register maps.

05

No unified optimization layer

Without a common data model and AI engine, there is no way to coordinate assets across an entire site for maximum efficiency.

HOW IT WORKS

From raw device data to intelligent automation

Four layers that turn fragmented energy infrastructure into a coordinated, AI-optimized system.

STEP 01

Connect

Devices & Protocols

SparkEdge connects to every energy device on site — solar inverters, batteries, EV chargers, heat pumps, meters — through Modbus, MQTT, OCPP, BACnet and more.

STEP 02

Normalize

Device Abstraction Layer

The DAL translates every device-specific register map and protocol into a universal JSON data model. One language for all assets, regardless of manufacturer.

STEP 03

Optimize

AI & Rules Engine

SparkGrid predicts load, forecasts solar generation, evaluates tariffs, and calculates the optimal dispatch for every asset — in real time.

STEP 04

Execute

SparkEdge Local Control

SparkEdge runs optimization locally — sub-second response, offline-capable, no cloud dependency. The AI brain gives orders; SparkEdge makes them happen.

SPARKEDGE

Why SparkEdge is required for real-world AI energy automation

Cloud intelligence is powerful but insufficient. Real energy systems need a local controller that connects to field devices, translates protocols, stores data, and executes decisions — even when the internet is unavailable.

SparkEdgeLocal Controller & Device Bridge
Modbus TCPModbus RTUMQTTOCPPBACnetREST API

Available as SparkEdge AX for industrial sites and SparkEdge EX for residential installations.

Field device connection

Connects to inverters, batteries, meters, EV chargers and HVAC controllers through RS485, Ethernet, and wireless protocols.

Data translation & abstraction

The Device Abstraction Layer normalizes every register map into a standard JSON model — eliminating vendor lock-in at the data level.

Local data storage

Stores time-series data, configuration and event logs on-device. Nothing is lost if connectivity drops.

Local EMS execution

Runs optimization rules and AI decisions locally with sub-second latency. No cloud roundtrip for critical energy actions.

Offline resilience

SparkEdge continues operating autonomously when internet or cloud connectivity is limited or unavailable.

Cloud & on-prem bridge

Securely bridges your site infrastructure to SparkGrid — whether deployed in the cloud, on-premises, or hybrid.

AI OPTIMIZATION

What “AI” actually means in operations

Not a buzzword. SparkGrid AI makes concrete decisions every interval — predicting, scheduling, and dispatching energy assets to minimize cost and maximize efficiency.

LIVE OPTIMIZATION CYCLE
Input
Grid tariffSolar forecastLoad predictionBattery SoC
AI Engine
Cost functionConstraint solverSchedule optimizer
Output
Battery: discharge 4.2kWHVAC: reduce 15%EV: pause until 14:00
01

Predict load

Forecast site consumption patterns using historical data, weather, and occupancy signals.

02

Forecast solar generation

Irradiance-based models predict PV output hours ahead for optimal dispatch planning.

03

Optimize charge/discharge

Decide when to charge and discharge batteries based on tariffs, demand, and generation.

04

Shift flexible loads

Move deferrable loads to low-cost or high-solar periods automatically.

05

Reduce peak demand

Cap site power draw during peak windows to lower demand charges and avoid penalties.

06

Coordinate EV charging

Balance charging across vehicles using tariffs, solar availability, and site power limits.

07

Automate building loads

Modulate HVAC, lighting, and thermal storage in response to real-time conditions.

DEVICE ECOSYSTEM

One platform for every energy device

SparkGrid connects to the full spectrum of distributed energy resources. Every device becomes an optimizable asset inside the ecosystem.

Batteries / BESS

Lithium-ion, lead-acid, and flow batteries — optimized for self-consumption, peak shaving, and arbitrage.

Solar Inverters

String and micro-inverters from all major brands — tracked, optimized and coordinated with storage.

EV Chargers

AC and DC chargers with OCPP — managed for load balancing, solar-aware and tariff-optimized charging.

Heat Pumps

Air-source and ground-source heat pumps — scheduled and modulated based on tariffs, weather, and thermal demand.

HVAC Systems

Commercial HVAC with BACnet and Modbus — controlled for comfort and efficiency within building automation.

Water Meters

Smart water metering for consumption tracking, leak detection, and holistic building resource management.

SCADA / BMS

Building management and SCADA systems bridged into SparkGrid for unified site-level optimization.

DEPLOYMENT

Cloud, on-prem, or hybrid

Deploy where your data and operations require it. SparkEdge always runs locally — the orchestration layer goes wherever you need it.

Cloud

Managed SaaS deployment with zero infrastructure overhead. Automatic updates, global access, and elastic scaling.

Zero-opsAuto-scalingGlobal CDN

On-premises

Full data sovereignty. Run SparkGrid on your own servers behind your firewall with complete control over data residency.

Data sovereigntyCustom infraAir-gapped
MOST FLEXIBLE

Hybrid

Best of both. SparkEdge runs locally at every site; choose cloud or on-prem for the orchestration layer per site or region.

Per-site choiceEdge-firstFlexible
40%

Typical reduction in energy cost for commercial sites

95%

Solar self-consumption rate with battery optimization

Local

On-site control loops — no cloud round-trip

24/7

Autonomous operation — even offline

Supported Standards & Protocols

Modbus TCP/RTUMQTTOCPP 1.6/2.0BACnetREST APISunspecIEC 61850IEEE 2030.5

Ready to manage energy smarter?

Connect solar, batteries, EV chargers, HVAC and other energy assets into one AI-managed system. SparkEdge executes control locally so optimization works in the real world.

No commitment required. Talk to our team and see SparkGrid in action.