Buildings consume 40% of Europe's energy, largely due to poor insulation and heat loss. Current assessment methods are slow, costly, and invasive, hindering large-scale screening.
They often miss critical air leaks and thermal bridges. Long on-site inspections delay retrofits and limit public sector scalability.
Traditional Limitations
Qualitative observations only (no quantified outputs).
Time-intensive manual inspections.
Inconsistent measurements.
High cost per building.
Limited district-scale prioritization.
What Makes ThermalAI Different
Quantitative, Not Qualitative
Quantifies heat loss (kWh/m²/year), CO₂ emissions, and monetary costs over 1, 5, 10, and 30-year horizons. Provides actionable data, not just colour maps.
Real Operating Conditions
Captures actual performance, including air infiltrations and thermal bridges missed by lab tests. Uses indoor and outdoor temperature inputs for true building behavior.
Non-Invasive & Scalable
Drone and ground-based thermal imaging eliminates intrusive inspections. Rapidly screens entire districts for consistent, evidence-based retrofit prioritization.
How ThermalAI Works
From thermal capture to actionable report in three steps. Our computer vision analyzes façade elements pixel by pixel, aggregating to complete building assessments.
Capture Images
Collect RGB and thermal images of all building façades. Use drones for tall structures, or pole-mounted cameras for smaller buildings. Standard protocols ensure consistent data.
AI Analysis
Computer vision identifies façade elements (windows, walls, doors) and calculates heat loss. Automatically detects thermal bridges and air leakage.
Generate Report
Receive comprehensive reports with visual heat loss maps, quantified kWh/CO₂/€ metrics, and retrofit recommendations. Reports generated in minutes after imagery processing.
Actionable Reports for Key Decisions
Each Report Details:
Heat loss by element (kWh/year, kWh/m²/year)
Quantified CO₂ emissions
Cost projections (1, 5, 10, 30 years)
Visual heat loss maps
Retrofit priority recommendations
Investment payback analysis
kWh/m²
Heat Loss
Annual energy waste per m²
CO₂
Emissions
Environmental carbon cost
€
Costs
Multi-year financial outlook
Proven Accuracy, Real-World Validation
ThermalAI has been tested across European buildings. Validation data shows consistent performance for retrofit screening programmes.
93.2%
Precision Rate
Abnormality recognition accuracy
85.4%
Recall Rate
Problem area detection across façades
1,184
Test Images
Annotated infrared validation set
Pilot Projects
Budapest Office Building
Identified priority areas for commercial retrofit, enabling targeted insulation upgrades with ROI projections.
Getafe Residential District
Residential assessment supported subsidy allocation, prioritizing properties by heat loss per investment.
Győr Building Stock Analysis
Collaborative screening demonstrated district-scale applicability, processing multiple building types rapidly.
Built for Three Critical Audiences
Governments & Cities
Verify retrofits for compliance. Target subsidies with district screening maps. Prioritize interventions based on energy waste and emissions.
District insulation scoring
Subsidy targeting tools
Policy impact tracking
Real Estate Owners & Asset Managers
Calculate precise retrofit ROI. Support valuations with OPEX reduction projections. Prioritize portfolio interventions to maintain asset value.
Investment case development
Portfolio benchmarking
Tenant value propositions
Advisors & Engineers
Accelerate due diligence with fast screening. Support retrofit design with heat loss data. Provide evidence-based recommendations and performance metrics.
Technical due diligence
Design specification support
Client reporting automation
Traditional Thermal vs ThermalAI
Quantitative analysis redefines retrofit decisions compared to traditional thermal imaging.
Traditional Thermal Assessment
Color-coded heatmaps only
Subjective interpretation
No quantified energy loss
Hard to prioritize interventions
Limited investment support
ThermalAI Quantitative Output
Precise kWh/m² metrics
Objective, repeatable data
CO₂ & financial projections
Clear retrofit priority
Evidence-based ROI
District-Scale Capability: ThermalAI maps insulation scores across neighborhoods, helping governments and utilities prioritize intervention zones based on heat loss density.
Thermal and RGB images of building façades. Also, indoor and outdoor temperature readings at capture. Standard JPEG/TIFF formats. We provide capture protocols for quality.
When should images be captured?
Optimal conditions are winter months, with at least a 10°C temperature difference (interior/exterior). Morning/evening captures minimize solar interference. We provide weather and timing guidance.
How is privacy handled?
Thermal images capture no identifiable features. Personal data processing complies with GDPR. Data storage/handling protocols available. Building-level aggregation protects individual privacy.
What are typical project timelines?
Report generation takes minutes after imagery upload. Full pilot projects (capture, data, analysis) usually complete within 2-4 weeks, depending on building count and weather.
Can ThermalAI assess all building types?
Yes—residential, commercial, institutional, and industrial buildings. The system adapts to various construction types. Complex architecture may need specialized capture.
Is training or technical expertise required?
The application is for non-technical users. Image capture needs basic thermal camera operation (training provided). Analysis and reporting are automated; interpretation support is available for complex projects.
Screen Your Building Stock Today
ThermalAI delivers the insights you need for confident investment decisions, whether for a single property or district-wide retrofits.
Try the Application
Explore ThermalAI's interface. Upload sample images to see the analysis workflow. Free trial access available.
Allretech develops AI solutions for the built environment. We combine computer vision, thermal analysis, and building physics to accelerate Europe's retrofit transition.