Every figure traceable to source.
The decision layer for a grid under pressure.
Vaidah turns weather, grid and market signals into decisions teams can interrogate, review and defend.
and uncertainty
and reliability
and liquidity
and objectives
Rising prices with higher wind uncertainty and a potential grid constraint create upside risk. Recommend hedging 120 MW for Jan 20–26.
and uncertainty
and reliability
and liquidity
and objectives
Rising prices with higher wind uncertainty and a potential grid constraint create upside risk. Recommend hedging 120 MW for Jan 20–26.
The energy transition has become a decision problem.
- More renewables.
- More electrification.
- More AI demand.
- More extreme weather.
- More volatility.
The grid is becoming more dynamic at the exact moment more of the economy depends on it.
Organisations have more data, forecasts and models than ever.
The hard part is knowing what to do next.
A grid this dynamic runs on flexibility. And flexibility runs on decisions people can trust.
From thousands of signals to one defensible decision.
Vaidah continuously brings together the information surrounding a decision and turns it into a clear, reviewable Casefile.
What changed?
Weather, grid, market or portfolio conditions move beyond what your team is watching.
What does the data actually show?
Relevant sources, forecast vintages and conflicting signals are brought together in one place.
What happens if our assumptions change?
Compare alternatives, sensitivities and uncertainty before committing to a view.
What should we consider doing?
Turn analysis into a clear proposed response with the reasoning attached.
Lower wind and a likely constraint raise evening peak risk. Hedging limits exposure.
What could make this conclusion wrong?
Challenge assumptions, inspect contrary evidence and review alternatives.
for next week
What happened, and what should we learn?
Compare the decision with what actually occurred and preserve the context for next time.
AI that shows its work.
Energy decisions are too consequential for a black box.
With Vaidah, every material conclusion can be inspected, challenged and traced back through the Casefile.
Open any important number or recommendation to see:
- SOURCE
Where it came from.
The original source and forecast vintage.
- CONTEXT
What it means.
The observation and context surrounding it.
- ASSUMPTIONS
What was assumed.
The assumptions that shaped the analysis.
- METHOD
How it was calculated.
The model, inputs and scenario behind the result.
- ALTERNATIVES
What else was considered.
Alternatives, uncertainty and contrary evidence.
- REASONING
Why this decision was proposed.
The reasoning connecting the evidence to the recommendation.
Trust comes from being able to verify the answer, not simply receiving one.
Make better use of the system we already have.
The future energy system will not be solved by infrastructure alone.
It will also depend on using existing capacity more intelligently through flexibility, better coordination and faster responses to changing conditions.
That means making better decisions about demand, generation, storage, congestion, risk and capital.
Vaidah helps teams answer:
- What changed?
- Why does it matter to us?
- What are our options?
- What evidence supports them?
- What would change our view?
So teams can respond faster while preserving the scrutiny, transparency and accountability consequential energy decisions require.
Built for energy-market decisions first.
Vaidah starts with professional power-market teams managing short-term changes across demand, renewable generation, market conditions and portfolio exposure.
Instead of rebuilding the same analysis across data portals, spreadsheets, models, messages and meetings, teams work from one shared evidence chain and one durable record of the decision.
- Today
Power-market decision intelligence
Turn changing weather, grid and market conditions into reviewable portfolio decisions.
- Next
Operational and flexibility decisions
Support the decisions required to use generation, demand, storage and grid capacity more intelligently.
- Over time
Decision infrastructure for the electrified economy
Bring the same auditable decision layer to the increasingly interconnected systems that power markets, infrastructure and industry.
Intelligence is abundant. Trustworthy decisions are not.
The next generation of energy infrastructure needs more than another dashboard, forecast or AI assistant.
It needs a layer that connects intelligence to action while preserving the evidence, assumptions, uncertainty and review behind every decision.