Success stories

Turning AI into ROI with our fully customized solutions

When our ready-to-deploy solutions don't fit the job, we develop uniquely tailored solutions. These solutions are 100% built for your needs so you can reduce O&M and deviation costs, improve efficiency and increase sustainability.

+0GW
of renewable energy being analyzed in real time
+0
algorithms adapted to clients' strategy

Fast execution, fully tailored

Executive briefing

A few hours

Problem assessment

3 to 4 weeks

AI model deployment

3 to 6 months
Fast execution, fully tailored

Usually, standard solutions aren’t enough.

We build tailored AI solutions designed for your specific goals, in 3 steps, delivering measurable business value within 3 months.

Executive
briefing
A few hours
Problem assessment
& MVP
In 4 weeks
Actionable
insights
In 3 months
Nadara use case

Nadara — Intelligence Hub

After mergers left wind and solar data fragmented across systems, Nadara and Enlitia built one Intelligence Hub — centralising SCADA, weather and performance so teams onboard portfolios in days and analyse operations up to 5× faster.

2.5 days portfolio onboarding

Energy Market Strategy use case

Energy Market Strategy

A renewable operator saw forecast megawatts and the offtaker's invoice, but not whether the invoice was right or the offtaker's market calls were. Enlitia's Market Strategy adds market prices to the existing hub for settlement verification, strategy validation and loss traceback. Pricing one repeated offtaker decision across eight confirmed weekends revealed a net loss of roughly €9,000.

9000€ net loss exposed in a repeated offtaker decision

Power Forecast Intelligence use case

Power Forecast Intelligence

A large solar operator relied on one baseline forecast provider and a flat availability multiplier that treated every inverter the same. Enlitia built Power Forecast Intelligence on its existing data hub — availability at each inverter's own ceiling, a closed-loop recomputed forecast and a Provider Selector that picks the best forecast interval by interval. Across an 18-site portfolio, the selector beat the best single provider at every site, with 8.6% lower forecast error.

8.6% lower forecast error vs best single provider

Asset Performance use case

Asset Performance

One digital twin per asset — expected power learned from each device's own history, then classified as normal, underperforming or curtailed. Crews get a work list ranked by lost energy, not another monthly average.

<2% typical model error

Hybrid generation and battery sizing use case

Hybrid generation & battery sizing

At an existing grid connection in Portugal — and runnable for sites anywhere in the world — Enlitia simulated wind, solar and battery mixes against multi-year hourly production and market prices. Dozens of configurations ranked by capture price, NPV and payback in seconds, not weeks — so teams see which hybrid add-ons improve the site before committing CAPEX.

+8.7 €/MWh capture price vs baseline (illustrative · Portugal)

Get started now!

Talk to our experts and learn more about how Enlitia's AI Platform can optimize your renewable energy assets and decision-making process.

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