Unlocking hidden potential in short-term rental properties through AI-powered data matching and optimization

Achievements

Team
SVG
Prototype
SVG
Users
SVG
Partners
SVG
Revenue
SVG
Investors
SVG

What we offer

An AI-powered matching and optimization suite for STRs, identifying undervalued listings by comparing them with successful comparable properties. It provides actionable improvement insights, dynamic pricing, occupancy forecasts, and guest sentiment analysis, along with consultancy (TFAs

Target group

◦ Private property owners aged 60+
◦ They own old properties in urban areas
◦ Their properties are in the high-price segment of rentals
◦ These owners are unaware of the rental market business or listing optimization logic
◦ They do not use third-party portfolio managers
◦ Their properties are typically listed on third-party sites

Challenges

◦ Data access & quality: Reliably collecting complete, structured listing data from diverse niche portals while respecting technical/legal limits (e.g., Airbnb's prohibition on automated scraping), and identifying "bad data" (e.g., unrealistic availability, properties with few reviews claiming high performance, or homes split into multiple listings)

◦ Accurate matching: Building a comp-set engine that finds truly relevant "look-alike" rentals and produces trustworthy, explainable recommendations, ensuring algorithms generalize well across various markets and property types

◦ Adoption & trust: Convincing property owners (especially those unfamiliar with optimization strategies) to engage with the tool and act on its suggestions, overcoming their lack of market understanding and low visibility in competitive markets

Our Story

The inspiration for the startup stems from an interest in broker models or "Trade Republic's ad on copy my trades", actively looking for cross-field innovation areas, and engaging in a deep dive into the technical pipeline as well as the financial mode