This page is designed to help you find out whether OneDpe is good and if it is the right choice for you.
In France, every home that is sold or rented must carry a DPE, an energy performance certificate graded from A to G. That letter now decides far more than an energy bill: G-rated homes can no longer be offered as new leases, F and E ratings follow in 2028 and 2034, and buyers increasingly negotiate on it. Yet DPE reports are dense, technical, and not always accurate.
OneDpe makes them readable and verifiable. Enter a certificate number and the platform pulls the official record from the French environment agency (ADEME), re-runs the regulatory 3CL calculation, and flags values that look inconsistent, such as wall insulation, heating systems or surface areas that do not add up. The result is a plain-language report showing what is solid, what is questionable, and what to ask the energy assessor before signing anything.
From there, users can model renovation scenarios step by step: insulation, heat pumps, ventilation or windows, with the expected new grade, estimated costs and the public subsidies they may qualify for. Other tools estimate the price discount linked to a poor rating, compare several homes side by side, show how the 2026 reform of the electricity conversion factor shifts a grade, and score how well a home stays cool in summer.
OneDpe is built for homeowners, buyers, landlords, real estate agents and condo boards who need to make decisions on a document they did not write. Every figure is tied to public data and cited regulations, and the methodology is published openly. The team also releases independent studies on certificate reliability, drawing on millions of public records.
The service is available in French and English, with free core tools and saved analyses in a personal dashboard.
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Most DPE tools take the certificate at face value and build on top of it. OneDpe starts by checking it. The platform retrieves the official record from ADEME's public database, recalculates it with the regulatory 3CL method, and points out the specific inputs that look inconsistent, such as insulation values, heating systems or surface areas. Users can then simulate renovation work, see how the 2026 reform of the electricity conversion factor changes a grade, estimate the price discount tied to a poor rating, and assess summer comfort, all from the same certificate number. Every result is traceable to public data and to the regulation it applies.
Because a grade is only useful if it is right. Buyers, sellers and landlords often rely on a single letter that can affect a sale price or decide whether a home can be rented, without being able to check how it was calculated. OneDpe shows the reasoning behind the letter, spots likely errors before they become costly, and turns the certificate into concrete next steps: which works to prioritize, what grade they would achieve, and which public subsidies may apply. The explanations are written in plain language, not assessor jargon, and the regulatory references are cited so users can raise the points with a professional.
Homeowners and buyers in France who have to make a decision based on a DPE: buying, selling, renting out or renovating. A second group is professionals who handle these documents every day, such as real estate agents, landlords managing several units and condominium boards planning building-wide works. Most users aren't energy experts. They need a reliable answer in plain language and a clear next step.
OneDpe grew out of real estate investment simulators the team was already building. To model rental profitability, those tools had to read energy certificates, and it quickly became clear that many DPEs contained values that did not match the property or the regulation. Since France began phasing out the rental of low-rated homes, those errors carry real financial weight. The team built an engine that recalculates certificates from public data, then expanded it into renovation planning, valuation impact and independent studies on certificate reliability that have been picked up by the French trade press.
Next.js (App Router) and TypeScript on the front end and API layer, Tailwind CSS and Radix UI for the interface, Supabase (PostgreSQL) for data, authentication and caching, deployed on Vercel with Sentry for monitoring. The calculation engine is a TypeScript implementation of France's regulatory 3CL method. It is fed by public open data: the ADEME DPE database, the CSTB national building database (BDNB), DVF property transaction records, and the French national address and geographic services.
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