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01 · SITUATION
The grid is getting hard to read.
Wind and PV feed in with fluctuations. Lines run at their limit. Without a forecast, all you can do is react.
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02 · PREDICTION
Congestion at node 7 in 3 h.
The forecasting engine predicts generation and consumption per grid node and detects the congestion before it occurs.
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03 · EXPLANATION
Main cause: wind feed-in.
SHAP and LIME show which factors drive the forecast. Rule extraction turns this into rules you can check.
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04 · DECISION
A human decides.
XAIGrid recommends an action and explains why. The operator approves or rejects it.
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05 · AUDIT LOG
Every decision is documented.
Recommendation, reasoning, factors, decision and timestamp go into the audit log with a checksum. Any later change becomes detectable.
From chaos to clarity. From reaction to prediction.
We are not the next control system. We are the explainability and audit layer that every AI-assisted control system needs.
The grid is getting more complex and more expensive. And it must be run with fewer skilled staff.
Four layers. One traceable path to a decision.
Grid operators use AI in critical infrastructure. We support them with the explanations and documentation they need as evidence.
Your grid data stays under your control.
Who is behind XAIGrid.
A team from electrical engineering, applied AI and research.
AI consulting and development from Oldenburg. Our research partner for explainable AI.
Frequently asked questions
Does XAIGrid replace our control system?
No. XAIGrid is an explainability and audit layer next to your control system. Switching commands and grid operation stay where they are today.
How does XAIGrid connect?
Via CIM (IEC 61970/61968) and OpenInterface. We are building the integration with our first pilot partners. XAIGrid reads the grid model, measurements and forecasts. Recommendations and explanations appear in the XAIGrid interface. Switching commands stay in your control system.
Where is our data stored?
With you, in on-premise operation. Grid data and the audit log never leave your premises. With the managed service, they are stored on dedicated servers in Germany.
Can XAIGrid run on-premise?
Yes. XAIGrid is designed to run in your own infrastructure.
Who makes the decision?
Always a human. XAIGrid recommends and explains. Your staff approve or reject, and the decision is logged.
What does the audit log for AI decisions do?
For every recommendation it stores the reasoning, contributing factors, the human decision and a timestamp. Checksums chain the entries together. This makes later changes detectable.
How does XAIGrid help with the EU AI Act?
AI used as a safety component in grid operation counts as high-risk AI. The duties apply from 2 December 2027. They include logging, transparency and human oversight. XAIGrid supports you with explanations and a complete audit log. It does not replace a legal assessment of your system.
How does a pilot work?
An initial call, scoping of grid area and data access, a supported pilot phase and a joint review. We agree the details with you.
The EU AI Act requires logging, transparency and human oversight for high-risk AI. Talk to us about funding, grants and partnership.
Request a pilot call
You talk directly to the founder. In 30 minutes we work out whether a pilot makes sense for your grid area.