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MapMortar

MapMortar is a real estate capital planning platform that uses physics-based 3D modeling and AI to help landlords and asset managers plan, track, and optimize portfolio-wide decarbonization strategies. The platform generates virtual building models from just a list of property addresses, enabling rapid scenario testing and precise retrofit cost calculations. It supports compliance with regulations like CRREM and MEES while aiming to reduce capital expenditure by up to 30%.

London, United Kingdom · HQ
Founded 2022182K+ followers
Updated 10 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

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 significant 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
This profile is AI-generated and may contain inaccuracies.