Platform · Web — Studio product, 2026 · Free audit
Enerva
Scan the QR on your Spanish electricity bill and see exactly where you overpay — from a platform that will tell you not to switch when that’s the honest answer.
Scan the QR on your Spanish electricity bill and see exactly where you overpay — from a platform that will tell you not to switch when that’s the honest answer.
An energy adviser with its incentives in writing.
The Spanish energy-switching market runs on cold calls and hidden commissions, so we built the opposite. Enerva reads the legally-mandated QR on any Spanish electricity bill — or connects to official Datadis hourly consumption data — and audits exactly where a household overpays. Sometimes the answer is a better tariff; often it is simply "lower your contracted power and stay". Enerva says so.
Every commission is disclosed in €/kWh, and cold-calling is banned in code, not in a values slide. Trust is the product; the demo is live.
A free, honest audit earns the right to a switching concierge — in that order.
Bill QR decoding (jsQR against the BOE field layout) or Datadis hourly data in; a clear, itemised picture of the bill out.
The audit happily concludes "don’t switch" — the recommendation engine has no thumb on the scale.
Full PDF audit reports, an 8-state consent state machine, and GDPR handling built for energy data.
Honesty enforced as architecture, and money math with no room for vibes.
A single chokepoint withholds any commissioned recommendation that lacks its €/kWh disclosure — the ethics policy is a compile-time constraint, not a promise.
The numeric path is a pure, network-free engine: five named rules, Decimal-only money arithmetic, and no LLM anywhere near the numbers.
Datadis, bill decoding and Stripe sit behind Live/Mock integration ports — the whole platform runs and tests without touching a real utility.
Enerva bets that in a market famous for tricks, the most disruptive feature is disclosed incentives — an audit engine that can’t be sweet-talked, in a product that would rather lose a commission than a user’s trust.