AVM Pro (coming soon) —
Institutional-grade property valuation
A data-driven valuation engine built on real transactions, market signals, and machine learning, designed for professionals who need accuracy, transparency, and scale.
+98%
accuracy vs market benchmarks
Explainable pricing
(no black box)
Portfolio-level valuation & analytics
API & bulk valuation capabilities
What is AVM Pro
AVM Pro is Livano’s advanced automated valuation model designed for professional use cases, from pricing individual assets to managing entire portfolios. Unlike basic AVMs, AVM Pro combines: • Transaction-level data • Real-time listing dynamics • Location intelligence • Machine learning models to deliver accurate, explainable, and consistent property valuations at scale.
AVM Lite vs Pro: What Changes
AVM Lite provides fast, accessible property estimates with around 70% accuracy, making it ideal for quick guidance and everyday decisions. In contrast, AVM Pro delivers over 98% accuracy, offering highly precise valuations for any property, across any city, neighbourhood or street, paired with full explainability behind every prediction. Powered by sophisticated machine learning models enhanced with AI, AVM Pro leverages advanced algorithms comparable to those used by world leaders like Zillow and Zoopla, while also incorporating spatial intelligence approaches similar to Uber’s hexagonal mapping systems for location precision. The result is a truly enterprise-grade valuation engine designed for confident, data-driven decision-making at scale.
How it Works
The Brain behind the decision engine consists of multiple layers and steps: 1. Data aggregation layer We aggregate millions of structured and unstructured data points across the property market: • Listings across platforms • Historical transactions • Price per m² trends • Time-on-market dynamics • Location & POI data • Macro signals (demand, supply) 2. Feature engineering Raw data is transformed into predictive features: • Comparable property clustering • Hedonic variables (size, floor, condition, view) • Location scoring (micro + macro) • Market momentum indicators • Liquidity & demand signals 3. Modeling layer AVM Pro uses a combination of machine learning and statistical models: • Gradient boosting models (price prediction) • Hedonic regression benchmarks • Time-series adjustments (market cycles) • Ensemble modeling for stability 4. Explainability layer Every valuation includes a transparent breakdown: • Comparable properties used • Feature contribution (what drives the price) • Confidence score • Market positioning (over/underpriced) Not just a number, but a fully explainable valuation.
Outputs
Core outputs: Valuation range → Not a single number — realistic pricing band Confidence score → Based on data density & model agreement Comparable properties → Real market references Price drivers → Size, location, features impact Market positioning → Underpriced / fairly priced / overpriced This is VERY powerful for banks + investors
Use Cases Business Driven
Powering smarter decisions across the property ecosystem
Price listings accurately
Win more mandates
Reduce time on market
Portfolio & Asset Management
Advanced analytics for valuation, LTV, repayment quality, and portfolio risk.
