Why PropTech is different
Hybrid business models
PropTechs combine software (SaaS/PaaS), hardware (IoT, sensors) and data (building performance, tenant behavior). Standard SaaS multiples capture only a fraction of value.
Real estate industry cycles
PropTech revenues correlate with construction cycles, ESG regulation and renovation cycles. A buyer reading only software metrics misses the demand drivers.
Regulatory value creation
CSRD, GEG, EPBD - every new regulation creates demand for PropTech solutions. This regulatory tailwind is a valuation-relevant factor missing from standard DCF models.
The AME hybrid valuation model for PropTech
SaaS metrics + real estate overlay
ARR, NDR, CAC/LTV, but overlaid with building penetration rate, regulatory uplift and ESG compliance value of the data asset.
IP and data asset valuation
Proprietary building data, trained ML models and integrated hardware ecosystems have standalone value beyond traditional software valuation.
Strategic premium factor
Platform effects, lock-in with property owners and cross-selling potential into the real estate value chain generate a strategic premium of 1.5-3x vs. financial buyer valuations.
Due diligence specifics for PropTech
Data quality & ownership
Who owns the building data? How is data quality documented? Are there lock-in risks with data suppliers?
Regulatory compliance
GDPR for tenant data, GEG conformity of recommendations, EU AI Act for AI-based forecasts - each area requires specific DD review.
Hardware integration & maintenance
IoT sensors, smart meter connections, building automation - hardware dependencies and maintenance contracts as risk and value factors.
PropTech transactions in numbers
higher multiple for PropTechs with proven regulatory compliance vs. without
AME PropTech Analysis
of PropTech deals fail due to insufficient data ownership documentation during DD
Industry Survey
shorter time-to-close for prepared PropTech transactions vs. unprepared exits
AME Deal Tracking
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