MapMortar
MapMortar provides an AI-powered capital planning platform that helps landlords and asset managers turn fragmented real estate data into board-ready decarbonisation roadmaps. Its physics-based RetroAgent engine builds virtual 3D models of entire portfolios from just a list of addresses, enabling scenario testing, precise retrofit cost calculations, and compliance tracking with CRREM pathways and MEES regulations. The platform claims up to 30% CAPEX savings and 75% faster planning compared to manual spreadsheet-based workflows.
- Clean Technology
- Property Technology
- Artificial Intelligence
- Software Only
- Data & Analytics
- Regulatory & Compliance Technology
- Enterprise Software
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Real estate portfolios face increasing pressure to decarbonize, yet asset managers and landlords struggle to plan and execute these strategies efficiently. Traditional methods rely on manual data entry into rigid spreadsheets that fail to keep pace with changing assets, making it difficult to assess retrofit opportunities, calculate costs, and ensure compliance with evolving environmental regulations.
Solution
MapMortar provides an AI-powered capital planning platform that transforms fragmented asset data into actionable, board-ready investment roadmaps. Using a physics-based 3D modeling engine called RetroAgent, the platform dynamically simulates entire building portfolios from just a list of property addresses, enabling users to test retrofit scenarios, calculate precise costs, and identify optimal capital allocation strategies. The platform automates the extraction and application of energy-saving opportunities, supports compliance with CRREM pathways and MEES regulations, and provides an auditable trail for tracking progress toward net zero targets, helping clients achieve up to 30% in CAPEX savings and reduce portfolio emissions.
Target Audience
Primary customers are landlords, asset managers, and sustainability consultants managing real estate portfolios who need to measure, plan, and track financially strategic decarbonisation plans while ensuring regulatory compliance.
Features
- Physics-based 3D modeling that creates virtual building models from property addresses to simulate energy upgrades and calculate retrofit costs
- AI-driven data lake that automates data extraction and application of retrofit opportunities, saving hundreds of hours of manual work
- Scenario testing and planning tools for retrofit strategies, including integration of renewables and EPC optimization
- Automated compliance tracking for CRREM pathways and MEES regulations
- Dashboard for planning, tracking, and maintaining an auditable trail of net zero targets
- Transparent consumption calculations with UK buildings instantly available for analysis, enabling 75% faster planning