Analyze hundreds of buildings.In days, not months.

The building’s address alone is enough. The system brings in geometric and registry data from open data sources and combines it with building archetypes based on intended use, construction period and climate zone. Energy certificates, real bills and technical information, when available, make the estimate more precise.

Each building gets a Data Quality Score (DQS) that makes the reliability of the estimate explicit. When you add new data, the model recalibrates the analysis automatically.

Buildings Co-Pilot is designed for large portfolios: the analysis is automated and scales to hundreds of buildings.

Not for the screening: the opportunity map of the whole portfolio is available without initial site visits. Further work then focuses only on the selected buildings.

A map of efficiency opportunities, a ranking of the buildings to act on first and simulations of measures with KPIs on CAPEX, OPEX, payback, life-cycle cost (LCC) and CO₂ reduction.

Yes. For the selected buildings you can add more granular data and run advanced simulations, supporting energy audits, design and certifications, without duplicating work.

Yes. Buildings Co-Pilot lets you screen an organization’s entire portfolio, identify the buildings worth acting on and build a business case for each (CAPEX, savings, payback, CO₂): the basis for a public-private partnership proposal that works for both the organization and the operator.