What I’m proud of in Europe and why it matters

Across Europe, Delfos now supports 1,000+ energy sites. Behind that headline is real operational depth:
1,385 solar fields, ~4,925 solar assets (inverters/equipment), 6 wind parks, 47 turbines, and ~604 MW monitored across markets such as Portugal, Spain, France, Poland, the UK, Turkey and the Canary Islands.

These numbers matter to me for one reason: they represent the day-to-day reality of operations. They represent people working under availability targets, time pressure, and responsibility for every MWh delivered. Europe is scaling renewables fast, but the real competitive advantage is increasingly operational execution, not just commissioning speed.

That’s also why we built Delfos the way we did.

We’re not trying to add another dashboard to an already crowded ecosystem. Delfos is a “virtual engineer” designed to help teams move from data to decisions. It ingests operational data in real time, detects abnormal behaviour and early-stage failures, interprets complex signals in context, and turns them into prioritised, actionable recommendations. The goal is practical: help operators move from “something looks off” to “here’s the likely cause and the best next step” faster, and do it consistently across large, distributed fleets.

This matters even more now because portfolios are becoming hybrid. Wind, solar, storage and grid constraints are converging into one operational reality. At the same time, experienced engineers are retiring and teams are expected to run more assets with fewer people. The gap isn’t information. The gap is prioritisation, clarity, and execution.

We also closed a €3M seed extension, bringing our total funding to €10M to date. I don’t see this as something to celebrate in itself. Funding only matters because it buys time and execution capacity. It allows us to deepen deployments across Europe, hire with discipline, and expand further into storage, which is quickly becoming critical infrastructure for the energy transition.

What doesn’t change is our thesis: AI in energy only makes sense when it becomes part of the operational process and consistently turns complexity into action. Now comes the less glamorous and most important part: continuing to execute, across more assets, with the same standard of impact.

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Guilherme Studart