The bridge page

Where DSOs usually start.

This page is organised by the operational problems operators actually describe — in their own words — and routes each one to the module that addresses it.

A TYPICAL PATH1Real-time data plausibility→ Grid State Estimation2Forecast vs. actuals reconciliation→ Grid State Estimation3Forecast–grid deaggregation→ Grid State Estimation4Build or buy the data layer→ The platform & integrations5Systemführung 2.0→ Congestion Management→ Flexible Asset Management
Five problems operators describe — each routed to the module that addresses it.
1
Real-time data plausibility
“We can't trust our real-time data — half of it is implausible and nobody has time to check.”

State estimation ingests everything you measure, flags what contradicts the physics, and reconciles it into one consistent picture — automatically, every interval.

→ Grid State Estimation
2
Forecast vs. actuals reconciliation
“Our forecasts and our actuals live in different worlds. Every morning someone explains the gap by hand.”

FLEX compares predicted against actual grid states continuously, learns where they diverge and why — and turns the morning explanation into a dashboard.

→ Grid State Estimation
3
Forecast–grid deaggregation
“The forecast says the region is fine. The cable that will actually overload is three levels below the forecast's resolution.”

Feeder-level forecasts get deaggregated down to the network locations where the deviation actually lands — so "the forecast was off" becomes "this section, at 18:00."

→ Grid State Estimation
4
Build or buy the data layer
“Do we build the data lake ourselves or buy a grid platform? Either way it's years before it does anything.”

FLEX doesn't force the choice: it runs on open formats on top of whatever you have — and works alongside platforms like envelio and Plexigrid if you've chosen one. Start with your data as it is, and let the results tell you what infrastructure is actually worth building.

→ The platform & integrations
5
Systemführung 2.0
“Systemführung 2.0: more volatile feed-in, more actors, fewer experienced operators — same control room.”

Topology optimisation, curated remedial actions and flexibility scheduling put more validated options in front of fewer operators — with the reasoning attached, and the human deciding.

→ Congestion Management→ Flexible Asset Management
Systemführung 2.0

More volatile feed-in, more actors, fewer experienced operators — same control room.

Topology optimisation, curated remedial actions and flexibility scheduling put more validated options in front of fewer operators — with the reasoning attached, and the human deciding.

A different challenge?

Describe it to us in a thirty-minute call. If FLEX is not the right answer, we say so.