Industries/PropTech

PropTech AI Economics

Real estate technology carries unique R&D challenges: massive data integration surfaces, legacy MLS systems, AI valuation accuracy requirements, and IoT infrastructure debt.

Property Data Integration Debt

MLS feeds and tax records use different formats and update frequencies, requiring dozens of custom data pipelines.

Average PropTech: 15-30 data source integrations

Valuation Model Economics

Automated Valuation Models (AVM) require continuous retraining, data enrichment, and model drift auditing at scale.

Model retraining: $50K-$200K per cycle

Legacy MLS Infrastructure

The real estate industry relies on legacy MLS systems. Migration from RETS to RESO APIs is complex and high-maintenance.

RETS → RESO Web API migration: 6-12 months

Smart Building IoT Debt

Commercial PropTech manages thousands of IoT sensors. This creates unique firmware, security, and hardware debt.

10,000+ devices = massive IoT debt surface

PropTech R&D Audit

Quantify your data integration debt, valuation model economics, and IoT infrastructure costs.

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Richard Ewing — AI Economist & Capital Auditor