Platform Features
Enterprise-Grade AI Valuation
Technology designed for anyone who wants to see how a property estimate was reached, and how accurate it has been in testing.
51,899
Sales studied
12.6%
Typical error
41.4%
Within 10%
About a third lower error
vs hedonic model
Core Technology
What Sets Us Apart
Bias Mitigation Layer (BML)
Proprietary technology that identifies and corrects historical valuation biases in real-time, now with graduated corrections and high-volume batch processing
Eliminates systematic bias
7-layer graduated corrections
Batch processes entire portfolios
Audit trail included
Feature Store Integration
Unified data platform combining property characteristics with macroeconomic indicators, served from a live database-backed cache
Whole property database indexed live
5-minute cache keeps serving instant
20,000+ property capacity
Historical trend analysis
MLOps Pipeline
Automated model retraining and deployment on Google Vertex AI infrastructure, with live pipeline health and capacity monitoring
Continuous improvement
Live pipeline health dashboard
Model monitoring
Automated A/B testing
Explainable Estimates
Every estimate shows the factors that moved it and the evidence behind it
Factor-level explanation
Likely range and stated error
Comparable sales evidence
Additional Capabilities