Valora PropTech

Problem

Investment teams were running comparable analysis through manual spreadsheets and fragmented data sources. This slowed portfolio decisions and introduced inconsistency in valuation output.

Solution

Valora PropTech unified listing feeds, CRM, and cadastral/neighborhood statistics in a single data model. The valuation model, comps engine, and scenario layer were delivered as one integrated analytical surface.

Architecture Notes

• A geo-segmentation layer optimized heatmap generation at neighborhood and micro-zone granularity.
• The comps engine scored candidates using proximity, floor area similarity, room mix, and historical price behavior.
• Scenario simulations recalculated return projections dynamically as rent and sale assumptions changed.

Outcome

Valuation lead time dropped from 2 days to 2 hours while comparable discovery speed improved by about 5x. The team moved to same-day portfolio decision cycles with higher confidence.