NamR provides an AI‑driven platform that delivers a geolocated database of energy performance and climate risk for every residential building in France and Europe. Its machine‑learning models rank retrofit, solar, and adaptation opportunities at the individual home level and offer API and dashboard tools for banks, insurers, and property managers to integrate these insights into ESG reporting, pricing, and portfolio management.
Funding
Funding not disclosed
Founders
Product
Problem
Financial institutions, insurers, and property managers often lack comprehensive, geolocated data on the energy performance and climate vulnerability of residential buildings, making it difficult to prioritize retrofits, solar installations, and adaptation measures across large housing portfolios.
Solution
NamR offers an AI‑driven platform built on a geolocated energy and climate database that covers 100 % of residential buildings in France and Europe. The platform uses machine‑learning algorithms to evaluate each home’s retrofit potential, solar suitability, and climate risk, delivering prioritized action lists and simulation results. Users can integrate these insights into ESG reporting, pricing models, marketing strategies, and portfolio characterisation, enabling faster and more targeted decarbonisation and risk mitigation. The service is delivered via cloud‑based data access and simulation tools that account for roof characteristics and surrounding environment, supporting both upstream planning and downstream client engagement.
Target Audience
Primary customers are banks, insurance companies, and property‑management firms that need granular, actionable data to manage and decarbonise large residential housing portfolios.
Features
- Complete, geolocated database of energy consumption, building envelope, and climate exposure for every residential unit in France and Europe
- Machine‑learning models that rank retrofit opportunities, solar installation potential, and climate adaptation needs at the individual home level
- Scenario simulation engine that incorporates roof geometry, shading, and local environment to estimate solar generation and energy savings
- API and dashboard access for ESG reporting, pricing definition, marketing targeting, and portfolio characterisation
- Integration of climate risk forecasts to support proactive risk prevention and adaptation planning