Technology

Four layers. One loop.

Your meters feed the models, the models decide, the platform acts, and every result retrains them. Accuracy improves the longer it runs.

01 Data

Facility and grid data, brought together site by site.

Track record

Proven on real peaks.

5 of 5

Ontario coincident peaks called

Every peak in 2024 and 2025, with days of notice.

215+

Facilities in the training data

Years of high-frequency data, multiple markets.

~6,500

Utilities connected

Bill data pulled in automatically.

Architecture

How data becomes a dispatch.

In

Your facility

Existing utility metersEdgecom IoT sensorsUtility billsProduction dataBuilding systemsHistorians

The grid

Market pricesSystem demand and peaksProgram events

Edgecom

AI CoPilotPlain-English questions, workflows, reports.
1
Data
2
Prediction and optimization
3
AutoPilot orchestration

Out

Your assets

BatteriesHVACBackup generatorsEV chargingOn-site generation

The market

Program enrollmentDispatchSettlement

Results feed back as training data.

Connects through open APIs. No rip and replace.

The layers

What each layer does.

IoT hardware and data

Uses your existing meters or our sensors, plus line-item bill data. Add production data for intensity analysis.

Workflows · Edi

One workflow. Any trigger. Any asset. Any market.

See the loop on your site.

We’ll map your meters, peaks and flexible assets, then show what the loop would do.