Round 1 Winners!
Proof of Usefulness Report

Property Technologies Limited

Analysis completed on 3/11/2026

+84
Proof of Usefulness Score
You're In Business

The project claims to be an institutional real estate valuation platform but provides highly contradictory, exaggerated, and unverifiable data. Claims such as 'everyone' for audience reach, 'most people have used my product' for traction, and 'marketcap: 500000' for monthly revenue are severe red flags for a B2B SaaS. Combined with the use of a pseudonym ('ShadowHeart'), the submission receives minimal scores across traction, reach, and response quality criteria.

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Score Breakdown

Real World Utility+50
Audience Reach Impact+5
Technical Innovation+22.5
Evidence Of Traction+0
Market Timing Relevance+20
Functional Completeness+1.25
Subtotal+98.75
Usefulness Multiplierx0.85
Final Score+84

Project Details

Project URL
Description
Property Technologies is an innovative SaaS platform for residential real estate valuation and risk management for institutional investors and banks, based on EBA guidelines. The platform provides automated valuation model for residential properties to accelerate the valuation process during mortgage loan origination; it also provides a tool for Mass Appraisal for mortgage property portfolio for mortgage lenders and banks. The innovative model integrates various modelling techniques and with help of Machine Learning and AI to value properties that helps in providing accurate Automated Valuation for properties with sufficient Comparable Data and as well as for properties with imprecise or insufficient comparative data. This algorithm helps to build a solution not only for advanced countries like UK and US, those are using AVM’s but also countries like India, Italy, Poland, Greece, Middle East Countries, South Africa etc. Our team consists of experienced Industry Professionals and academicians from various Universities of UK, Poland, and Italy. Each member in the team has over decades of experience in the field of Valuation. We are proud to be a part of London Business School Incubator Programme of 2021/22, our new address for next year would be In house, London Business School, Regents Park, London

Algorithm Insights

Market Position
Growing utility with room for optimization
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline