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Unlocking hidden revenue from the world’s wind farms.

The commercial performance layer for the world’s wind assets.

EnergyExe quantifies the recoverable value hidden in every wind asset, starting from public data and proprietary intelligence.

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5B+
Data points processed
1,500+
Assets covered
The problem

Wind farms leak substantial revenue. The weather hides it.

Weather masks performance
Performance is often explained by weather conditions. However, a windy year flatters a bad asset; a calm year punishes a good one.
The untapped value is hidden
Operational and market losses can strip double digits off achievable revenue — once the wind effect is removed.
Where the money goes
Recoverable gap: 22%
100%
−6%
−16%
+4%
82%
Achievable Power Generation
Operational
Market
Wind
Delivered Power Generation
2025 Norwegian wind farm · our platform finds, splits and prices the gap
The platform

EnergyExe Perform — live.

A commercial intelligence platform that runs continuously across 1,500 wind farms. Analyse your portfolio and benchmark against your peers. No manual inputs, no operator-reported data required.

app.energyexe.com/dashboard
Capture rate, capture price and market revenue — tracked monthly per asset.
How it works

Three steps. Nothing required from you.

No additional data required. No onboarding project. Operational within hours. Modular add-ons — SCADA integration, next-day forecasting, predictive maintenance — when you're ready.

→
1
Find the lost value
Power generation, satellite wind, prices and asset specs — captured continuously.
→
2
Split the cause
Our machine-learning model predicts what each asset should have produced and earned from the wind that actually blew — the benchmark every gap is measured against.
→
3
Price the value gap
The recoverable gap is split across operational, market and wind — and priced in money and power generation.
Who we serve

One platform, multiple user perspectives.

The same underlying data — framed around the questions each user is actually trying to answer.

Operators & Asset Managers
Investors & Lenders
Insurance & Reinsurance
Find and recover value leakage across your portfolio.

EnergyExe Perform gives operators and asset managers a continuous, wind-normalised view of where each asset is underperforming and by how much. AI-generated action plans ranked by recoverable EUR value are updated as new generation, wind, and price data flows in.

Portfolio monitoring
Continuous benchmarking across all assets. Identify outliers before they become a problem.
"Which assets in my portfolio have the highest recoverable value?"
EnergyExe ranks every asset by total value leakage across five commercial drivers — giving you a prioritised work list, not a dashboard to explore.
Value leakage quantification
Every performance gap in EUR and MWh — availability, capture rate, OPEX, P50, market exposure.
"Is my underperformance structural or weather-driven?"
Wind-normalised analysis separates resource variability from genuine operational failure. A bad wind year is not the same as a bad asset.
AI-generated action plans
Diagnostic checks run automatically. Each asset scored Confirmed, Indicative, or On Watch — with ranked remediation priorities and answers to anything across 5 billion+ data points.
"How does my capture rate compare to peers in the same zone?"
Capture rate benchmarking against all comparable assets in the same price zone — NO1 through NO5, the UK, and the North Sea.
Screen assets faster. Diligence more rigorously.

For investors, lenders, and M&A advisors — EnergyExe compresses due diligence timelines, provides independent validation of operator-reported performance, and surfaces P50 gaps that pre-construction energy assessments miss.

Asset screening
Rapid identification of disruptions and financial benchmarking across a target portfolio — before committing diligence resources.
"Is this asset genuinely underperforming, or was it just a bad wind year?"
Wind-normalised output benchmarked against price zone peers — distinguishing structural underperformance from resource variability.
Due diligence validation
Independent performance data against operator-reported figures. Identify over- or underperformance before deal close.
"Does the P50 target in the financial model hold up?"
Cumulative P50 gap analysis from COD+1 year — showing whether production shortfall is structural and pre-existing.
P50 validation
Compare actual generation against embedded P50 targets over multiple years — identifying assets where the yield assessment was optimistic.
"How does OPEX compare to peer assets of similar age and size?"
OPEX/MWh trend analysis against zone peers — revealing rising maintenance burden before it appears in audit accounts.
Risk assessment independent of operator reporting.

For underwriters, loss adjusters, and brokers — EnergyExe closes the gap between operator-reported data and independently verifiable asset risk. All data from public sources. No dependency on what the policyholder declares.

Underwriters
Operational disruption benchmarking, OPEX trend analysis, P50 validation, and wind regime correlation across portfolio — before you bind.
"What is the true risk profile of this asset before I bind?"
Operational disruption score, disruption frequency, seasonal patterns, and OPEX trajectory — all derived from public data, not operator declarations.
Loss adjusters
Wind-normalised loss quantification, disruption event isolation, and revenue impact at market prices — independent of operator logs.
"What did this event actually cost, independent of what the operator says?"
Each disruption isolated to specific hours where output fell below wind-adjusted expectations. Loss in MWh × market price. Auditable and repeatable.
Brokers
Independent performance data supporting lower operational disruptions, stable OPEX trends, and peer-relative outperformance — to strengthen submissions.
"Do I have correlated exposure across assets in the same wind zone?"
Portfolio Operational disruptions heatmaps showing synchronised disruption events — critical for reinsurers assessing accumulation risk.
AI diagnostic system

Ring-fenced AI at the core. Diagnostic checks and answers — on its own.

Runs diagnostic checks and writes the action plans on its own — and answers anything across 5 billion+ data points: any farm, market or financial line, in dashboards or plain language.

Wind resources
✓Short-term wind resources
✓Long-term wind resources
Operational performance
✓Capacity factors
✓Wind-normalised generation
✓Operational residual
✓Raw power curve
✓Clean P50 power curve
✓Clean P10 power curve
Revenue exposure
✓Capture rates
✓Capture rate development
✓Capture rate seasonality
✓Achieved vs capture price
✓Cannibalisation index
✓Revenue & price volatility
✓Market price exposure
Operational optimisation
✓Operational Disruption Index (MWh)
✓Operational Disruption Index (EUR)
✓Revenue loss from disruptions
✓Turbine model comparison
✓Turbine supplier comparison
Financial & valuation
✓Revenue/MWh
✓OPEX/MWh
✓EBITDA margin
✓Performance vs P50 target
✓Seasonal P50 performance
✓Cumulative P50 gap
✓Degradation slope analysis
Product & business model

Modular product structure. Start with our data, expand from there.

Each module sold individually. Begin with Perform — add SCADA integration, generation forecasting, and predictive maintenance as your needs develop.

Stage 1
Start here
EnergyExe Perform
Wind farm level analytics; benchmarking, value-leakage quantification, action plans.
Live
Access Perform →
Stage 2
Capability upgrade
Perform + SCADA
Turbine-level analytics; customer data is isolated, never used to train external models.
Pilot
Add-on
module
Preview
Next-day generation forecasting, ML-based — sharpens trading decisions and reduces imbalance settlement costs.
Pilot
Add-on
module
Predict
Predictive maintenance — provides early-warning signals before faults become disruptions.
Pilot
The team

The team that built energy's market intelligence infrastructure.

60+ years of combined energy-intelligence experience from IHS Markit, Refinitiv, ODS-Petrodata and Esgian.

Per Christian Grytnes
Per Christian Grytnes
Co-Founder & Managing Director
30+ yrs executive leadership across energy data, market intelligence and technology businesses.
ODS-PetrodataIHS MarkitMagseis FairfieldEsgian
Aje Singh Rihel
Aje Singh Rihel
Co-founder & Head of Data and Analytics
Market intelligence and analytics leadership across global energy data businesses.
ODS-PetrodataIHS MarkitRefinitivEsgian
Oliver Stephenson
Oliver Stephenson
Co-founder & Head of Product
Energy analyst with a product and business-development background in market-intelligence businesses.
ODS-PetrodataIHS MarkitEsgian
Kasper Grytnes
Kasper Grytnes
Senior Analyst
Market intelligence and data analysis for renewables — bridging asset performance and economics.
EsgianNHH
Mohammad Faisal
Mohammad Faisal
Lead Developer
Builds robust, scalable B2B software — has helped companies grow from early-stage to Series B with a product-driven mindset
B2B SoftwareProduct Engineering
Get started
See your portfolio through EnergyExe.

Request a demo, book a call with the team, or get in touch to discuss your specific use case. We can be operational on your assets within days.

Request a demo Book a call hello@energyexe.com