Lamarr.AI

What Lamarr.AI does

Lamarr.AI is a building technology AI company that provides automated exterior diagnostics for retrofitting and new construction. Spun off from Georgia Tech and MIT innovations, the company transforms building enclosure data into actionable intelligence using patented technology. Their platform, MRI, combines drone-based thermal and visible-range imaging, advanced AI analytics, and energy simulation to deliver fast, accurate, and cost-effective diagnostics. This helps detect and prioritize inefficiencies, empowering building owners, facilities managers, and cities to reduce emissions, lower energy costs, and extend the life of their buildings. Lamarr.AI's solution supports portfolio-scale benchmarking, allowing rapid assessment and comparison across portfolios, data-backed business cases for funding, ranking defect severity for maintenance budgets, and translating envelope defects into measurable energy savings.

Products

• The MRI for BuildingsAn AI-powered envelope diagnostics platform that pinpoints thermal anomalies, moisture intrusion, and insulation failures, delivering actionable insights in days. It offers different levels of engagement: Detect, Diagnose, and Audit.
• DetectQuickly surfaces hidden defect risks. Includes data collection, thermal & visual image processing, defect registration on 3D models, and general retrofit recommendations. Delivered as fast as 2-3 days from data collection.
• DiagnoseTurns defects into actionable retrofit plans. Includes all features of Detect plus retrofit work plans with cost estimates. Delivered as fast as 5 days from data collection.
• AuditProvides comprehensive ROI-backed energy analysis for capital planning. Includes all features of Diagnose plus energy modeling, ROI calculation & customization. Delivered as fast as 1 week from data collection.

Key capabilities

• Automated Exterior Diagnostics for Retrofitting and New Construction
• Portfolio-Scale Benchmarking
• Autonomous Data Capture using camera-equipped drones with thermal and regular imaging
• AI Diagnostics to root-cause anomalies, categorize defect severity, and predict failure patterns
• Proprietary AI trained on extensive building data
• Simulation models to translate thermal signatures into actionable insights
• Cloud Platform delivering 3D models with defects mapped, simulated energy impact assessments, ROI analysis, and prioritized solutions with design-ready statements of work
• Comprehensive envelope assessment delivered in days
• AI-Powered Analytics & Simulations
• Early Issue Detection (6 to 18 months early)
• Full Envelope Analysis
• Economies of Scale

Use cases

• Building envelope analytics
• Energy retrofit decision-making
• Detecting and prioritizing building inefficiencies
• Reducing emissions
• Lowering energy costs
• Extending the life of buildings
• Transforming how the built environment is maintained and decarbonized
• Rapidly assessing and comparing results across building portfolios
• Building data-backed business cases to secure project funding
• Ranking defect severity to efficiently deploy deferred maintenance budgets
• Translating envelope defects into measurable energy savings
• Transforming reactive maintenance into strategic planning
• Identifying envelope failures that impact occupant comfort and safety
• Contributing to sustainability goals and decarbonization targets
• Rapid due diligence and valuation for acquisitions in commercial real estate
• Identifying hidden envelope issues before they become costly liabilities
• Meeting sustainability mandates and optimizing federal building performance
• Optimizing public facility performance and reducing taxpayer costs
• Cutting energy costs in large-scale manufacturing and distribution facilities
• Improving resident comfort and reducing utility costs in multifamily residential buildings
• Protecting critical infrastructure with envelope integrity monitoring in data centers
• Enhancing guest comfort and protecting brand reputation in hospitality
• Faster, more accurate claims validation and risk scoring for property insurance
• Objective AI-powered assessments for underwriting and loss prevention

AI approach

Lamarr.AI uses proprietary AI trained on extensive building data to analyze drone-captured thermal and visible-range imaging. This AI identifies anomalies, categorizes defect severity, predicts failure patterns, and translates thermal signatures into actionable insights for building envelope diagnostics and energy simulation.

Tech named: proprietary AI, simulation models

Industries served

• Healthcare
• Higher Education
• Commercial Real Estate
• Government & Federal
• Municipal Buildings
• Industrial & Warehousing
• Multifamily Residential
• Data Centers
• Hospitality
• Property Insurance
• Senior Living

What it says sets it apart

• Spun off from Georgia Tech and MIT innovations
• Patented technology
• Pioneers of Beyond Visual Line of Site (BVLOS) building inspection flights
• Proprietary AI trained on extensive building data
• Simulation models translate thermal signatures into actionable insights
• Comprehensive envelope assessment delivered in days, not weeks
• Field-Proven, Backed by Bleeding-Edge Research from Georgia Tech, MIT & Syracuse University
• Results that used to require weeks of on-site engineering delivered remotely in days
• AI-Powered Analytics & Simulations vs. visible problems only in traditional audits
• Early Issue Detection (6 to 18 months early) vs. reactive only in traditional audits
• Full Envelope Analysis vs. spot checks/sample areas in traditional audits
• Economies of Scale vs. cost prohibitive in traditional audits

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.