Sensors everywhere. Economic decisions nowhere.
A smart grid gathers the data to act on price in real time. But most orchestration still runs on rules and setpoints — the economic signal is measured and then ignored.
One economic decision engine, applied across the entire energy value chain — from oil & gas and power generation to renewables, storage, grids and hydrogen.
Telemetry answers "what is happening". It never answers "what is it worth".
A smart grid that can't justify a decision in OMR is only half smart.
Marginal price, scarcity, demand — published, hourly, free. And mostly unused.
You already paid for the sensors. The economic layer is the part that pays you back.
Three decision-gap patterns in smart grid
DER orchestration on rules, not prices
Distributed resources are dispatched on fixed schedules and thresholds. The one signal that would make them profitable — the hourly price — isn't in the loop.
Flexibility signals unpriced
The grid can see where flexibility exists but doesn't value it in OMR, so it's rarely called when it would earn the most.
Data collected, value never actioned
Telemetry pours in and dashboards fill up, but no layer converts the stream into an economic decision at the moment it matters.
The same engine. Your sector.
Every decision is a transparent, auditable calculation against published market prices. No black box. No fabricated results.
Ingest
Existing asset telemetry via SCADA/EMS or a file upload — no hardware to replace.
Align
Against published market signals — marginal price, scarcity, demand.
Replay
Every decision is replayed against what the economically optimal one would have been that hour.
Quantify
The economic decision gap in your currency — cited to official sources, independently verifiable.
The economic decisions specific to smart grid
Price-aware DER orchestration
Dispatch distributed assets on the hourly economic signal.
Flexibility monetization
Value and call flexibility when the price makes it pay.
Real-time economic signals
Turn the existing data stream into an OMR decision per interval.
Forecast-driven control
Pre-position assets ahead of forecast price windows.
A Decision Gap report — for your asset
Baseline — what your asset actually earned against real market prices, hour by hour.
Shadow run — the same decisions replayed with price-first logic.
Decision gap — the difference in OMR, broken down by leak type.
Top 20 actions ranked by OMR — date, hour, action taken vs. recommended.
Recovery roadmap — what captures each leak, with no software lock-in implied.
Frequently asked
We already invested in grid analytics. Why add this?
Analytics tell you what happened. We convert the same data into the economically optimal action per interval and quantify what the rules-based approach leaves behind.
Does it require ripping out our controllers?
No. We read your streams and quantify the gap first; any control integration is opt-in and later.
How much is your smart grid leaving on the table?
The sensors are installed. The signals are published. The only missing layer is the one that earns.
Free 7-day diagnostic with a written guarantee — if we find no recoverable value, you pay nothing.