This AI platform delivers strategic retrofit plans for commercial real estate portfolios rapidly, replacing slow, manual energy assessments. It instantly integrates building data to identify compliance risks and prioritize high-value energy efficiency interventions across numerous assets. The solution enables owners to model decarbonization scenarios, optimize capital allocation, and accelerate portfolio sustainability goals.
Funding
Funding not disclosed
Founders
Product
Problem
Commercial real estate owners face increasing pressure from tightening energy efficiency regulations like MEES, which can render properties unlettable. Traditional building-by-building energy assessments are slow, expensive, and struggle to provide a comprehensive view across large portfolios, making it difficult to prioritize investments and plan cost-effective retrofits.
Solution
Building Atlas offers a data-driven platform that enables commercial real estate owners to quickly assess risk, prioritize investments, and create decarbonization strategies for their entire portfolio. By simply providing property addresses, users gain immediate insights into MEES compliance risks and identify high-priority buildings for intervention. The platform leverages proprietary AI to integrate building physics, energy usage data, grid capacity information, and relevant regulations, creating custom building energy models and assessing retrofit measures. Building Atlas helps users model retrofit scenarios, estimate costs and payback periods, and connect with financing and delivery partners.
Target Audience
Building Atlas targets commercial real estate owners and asset managers responsible for large portfolios who need to comply with tightening energy efficiency regulations and reduce their carbon footprint.
Features
- Rapid portfolio assessment using AI to analyze hundreds of data points per building from just an address.
- Identification of MEES compliance risks and opportunities for energy and carbon savings.
- Prioritization of projects based on risk, payback period, or carbon reduction potential.
- Refinement of recommendations by adding specific building data to improve accuracy.
- Modeling of retrofit scenarios to compare costs and estimate energy and carbon savings.
- Connection to financing and delivery partners to implement decarbonization plans.