Built by operators, not consultants.
NuraVolt instruments solar and battery assets the way an asset manager actually needs them instrumented, physics-informed ML sitting on top of your live data, every loss priced in €, and a compliance trail that holds up in a regulator review.
Built on operational data, not slide decks.
The methodology underlying NuraVolt was developed over eight years of utility-scale PV and BESS operations in European and emerging markets, running ML models against roughly 2 GW of live production data, validated against real revenue outcomes, not synthetic benchmarks.
When we ship a fault classifier, a soiling forecast, or a revenue-impact estimate, every model has been pressure-tested against operators who would notice a wrong number, because it would cost them money. That bias toward real-world validation is the reason our audits surface findings other monitoring tools miss.
Three principles we refuse to compromise on
Evidence over vendor marketing
Every model we ship comes with a model card, intended use, training data, accuracy metrics, known limitations, human oversight points. If we can't explain it, we don't ship it. This is also why the platform passes AI Act conformity out of the box.
Regulation-ready by default
CSRD ESRS E1 reporting, EU AI Act model cards, and EU Battery Regulation passport data feeds are built in, not bolted on. You should never have to hand-compile a regulator pack from a dashboard export.
No lock-in without value
Three peer entry points, continuous monitoring (no annual lock-in), a fixed-scope Plant Performance Audit (from €1,000, fee credits back against your first platform month if you continue), and a Data Foundation engagement for smaller plants. Pick the smallest commitment that matches the buyer's problem.
The compliance layer is the moat
Most PV monitoring platforms were designed before EU climate regulation became real operational overhead, before CSRD E1, before the EU AI Act's "critical infrastructure management" classification, before the EU Battery Regulation passport. They bolt on compliance exports after the fact.
We built NuraVolt the other way round: regulatory requirements shape the data model, the ML documentation, and the audit trail from day one. The monitoring, fault detection, and forecasting features are how we earn the relationship, the compliance layer is why we keep it.
Want to see it?
Start with continuous monitoring, a one-off audit, or a Data Foundation engagement, or click through the live demo first.