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Grid & prices
Live electricity data across the European synchronous area — generation mix, cross-border flows, load and day-ahead prices.
For utilities, energy traders, regulators, infrastructure operators, and energy-focused journalists. Grid generation mix, cross-border flows, prices and weather — fused live for the question being asked now.
An energy desk runs a position on day-ahead power. They need grid generation mix, cross-border flows, day-ahead prices, the weather driving wind and demand, and outage news — all in one view.
Today, that takes Reuters Eikon (€25k+/seat), separate power-market and weather subscriptions, and an Excel sheet that the trader updates by hand at 6:00 every morning.
insigz consolidates the question into one chat. “What is driving the German power price tomorrow?” returns a synthesized answer pulling from weather, grid generation mix, cross-border flows, prices, news and maintenance — cited.
What the platform brings to this vertical specifically. Not generic features — the things that map to the actual workflow.
Live electricity data across the European synchronous area — generation mix, cross-border flows, load and day-ahead prices.
Live generation mix and grid flows — renewables share, conventional dispatch, interconnector flows.
News, sanctions, infrastructure incidents fused with the physical market. The "why" alongside the "what".
A concrete walk-through. This is what the platform does inside the operator's head, made visible.
"Day-ahead power outlook for DE through next Tuesday?"
Generation mix, cross-border flows, day-ahead prices, weather forecasts.
Outages, maintenance windows, geopolitical events.
Cited summary. Every claim links back to a source observation.
Indicative ranges. Final pricing depends on data sources, usage volume, and SLA tier — talk to us for an actual quote.
A Swiss-based commodities trader runs a 6-person desk on European power. Pre-insigz: 2 hours of manual data assembly every morning. Post-insigz: 12 minutes of guided exploration plus one synthesized brief per day.
The team reallocated 8 person-hours per day to actual position analysis.