About

Real estate transactions in Greece often lack transparency, efficiency, and accurate valuation, leading to inefficiencies for buyers, sellers, and financial institutions. Traditional property valuation methods are time-consuming, expensive, and prone to human error. With the increasing demand for data-driven decisions in real estate, the market needs a scalable, cost-effective solution for accurate property valuations.

Solution & Product

We provide an automated valuation model (AVM) powered by machine learning and comprehensive property data to deliver instant, accurate property valuations. Our platform aggregates data from multiple sources, including transaction records, market trends, and location-specific insights, to generate valuations in seconds. The AVM is accessible via a user-friendly dashboard and API integration, making it ideal for banks, real estate agencies, and investors seeking quick, reliable valuations at a fraction of traditional costs.

Innovation & Scalability

With plans to expand beyond Greece into the broader Balkan region and Southern Europe, we are addressing an underserved market ripe for digitization. The scalability of our machine learning model allows us to adapt to new geographies quickly. Potential barriers include data access restrictions and regulatory differences across regions, which we mitigate through local partnerships and compliance measures. With the right investments, we anticipate scaling to additional markets within three years, significantly expanding our customer base and revenue.

Traction & achievements

We are co-located at the Egg - Greece’s largest incubator. We have completed the initial development of our prototype and successfully integrated a pilot dataset of 100,000 property records. Early feedback from initial testing with one real estate agency has been positive, confirming the viability of our automated valuation model. We are currently engaging with potential pilot partners, including financial institutions and property firms, to refine our solution. We are engaging with private investors from the UK and Australia.

Team & Why Us

With plans to expand beyond Greece into the broader Balkan region and Southern Europe, we are addressing an underserved market ripe for digitization. The scalability of our machine learning model allows us to adapt to new geographies quickly. Potential barriers include data access restrictions and regulatory differences across regions, which we mitigate through local partnerships and compliance measures. With the right investments, we anticipate scaling to additional markets within three years, significantly expanding our customer base and revenue.

Funding Needs

Currently bootstrapped, and looking to raise a seed round of 500k.