Property Data Foundation

AI agents that create reliable, enriched property-level insight from fragmented data.

Key Agents:

💠 Data Enrichment Agent: Integrates public records, geospatial data, EPC data, and alternative sources to build a unified property view.

💠 Property Profiling Agent: Generates consistent property attributes such as size, typology, and characteristics where records are incomplete.

💠 Geospatial Analysis Agent: Applies spatial modelling to understand location-based influences on property performance.

Valuation and Risk Modelling

AI agents that support accurate pricing, uncertainty management, and evidence-based decisions.

Key Agents:

💠 Predictive Valuation Agent: Produces data-driven property value estimates using advanced machine learning models.

💠 Risk Modelling Agent: Assesses valuation confidence and exposure by accounting for data quality and market volatility.

Market and Demand Insight

AI agents that analyse demand signals, price movement, and market behaviour.

Key Agents:

💠 Demand Forecasting Agent: Forecasts short- and medium-term demand using transactional, economic, and behavioural signals.

💠 Market Trend Analysis Agent: Identifies emerging price movements, supply constraints, and regional shifts.

💠 Comparative Market Analysis Agent: Benchmarks assets against comparable properties and locations.

Sustainability and Energy Performance

AI agents that model energy efficiency, retrofit impact, and regulatory readiness.

Key Agents:

💠 Energy Performance Modelling Agent: Estimates EPC ratings, energy demand, and emissions where official data is missing or unreliable.

💠 Retrofit Impact Agent: Forecasts the effect of insulation, heating, and efficiency measures on performance and cost.

💠 Regulatory Compliance Agent: Supports compliance with evolving energy and sustainability regulations.

Transaction and Workflow Orchestration

AI agents that reduce friction, coordination effort, and execution risk across real estate processes.

Key Agents:

💠 Workflow Orchestration Agent: Coordinates tasks, approvals, and dependencies across transactions and projects.

💠 Document Intelligence Agent: Extracts, classifies, and validates information from contracts and reports.

💠 Timeline Management Agent: Tracks milestones and flags delays or execution risk.

Portfolio Strategy and Optimisation

AI agents that improve portfolio performance and long-term planning.

Key Agents:

💠 Portfolio Performance Agent: Monitors asset-level and portfolio-wide performance indicators.

💠 Capital Allocation Agent: Supports investment prioritisation based on risk, return, and strategic objectives.

ADSP delivered a scalable AI-driven modelling framework to address widespread gaps in residential energy performance data across London’s property stock. By integrating alternative data sources and applying advanced modelling techniques, the solution generated reliable estimates for EPC ratings, energy demand, insulation, and fuel types where official records were missing or inconsistent. The approach delivered initial results within weeks while establishing a robust, reproducible system capable of supporting long-term sustainability planning and net-zero policy initiatives.