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How Proper Property’s Tenant Credit Check Tool Transforms the Cyprus Rental Market

by THEFUTURE.TEAM

October 28, 2025

Introduction

The challenges posed by problematic tenants—ranging from delayed payments and unpaid rents to property damage—have long been a source of distress for property owners and real estate professionals in Cyprus. In an effort to mitigate these issues, industry leaders are increasingly turning to data-driven evaluation methods. One young Cypriot entrepreneur is setting a new standard by integrating technology into tenant screening, thereby streamlining processes and reducing risks.

Innovative Digital Solution

At the forefront of this transformation is the Tenant Credit Check Tool by Proper Property. Developed by 28-year-old Christos Kliridis, the tool represents the first of its kind in Cyprus, offering property owners and real estate agents a fast, reliable, and legally compliant method to assess the credit and rental reliability of prospective tenants. By bridging a critical gap in the local market, Proper Property is aligning Cyprus with broader European standards where data-backed tenant verification is a legal and operational cornerstone.

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A Personal Mission Meets Strategic Innovation

Inspired by his own international rental experiences in the Netherlands, the United Kingdom, and Cyprus, Kliridis noticed a stark contrast in market practices. While overseas rental markets are governed by structured procedures and comprehensive data analysis, the Cypriot market often relies on personal trust and instinct rather than objective data. Recognizing this disparity, Kliridis collaborated with Atokes—a pioneering Buy Now, Pay Later platform—to create a digital screening tool that enhances transparency, reliability, and professionalism in rental agreements.

How the Tenant Credit Check Tool Works

Utilizing a fully digital and secure process, property owners or real estate agents can simply register on the Proper Property platform and list the property they intend to rent. They then invite prospective tenants to participate in the screening process. The tenant, upon receiving an invitation, responds to a series of brief questions regarding their employment status, family situation, or academic commitments. The tool then connects securely with the tenant’s bank to automatically run a comprehensive credit check—all in strict accordance with GDPR guidelines ensuring complete data protection.

Simple, Secure, and Cost-Effective

The entire procedure is completed within minutes, producing a clear and detailed credit report that empowers property owners to make informed decisions. At a competitive fee of €25 per review, the tool not only promotes responsible leasing but also eliminates the cumbersome paperwork and uncertainty typically associated with tenant screening. The service is currently available for landlords, real estate agents, and property management companies, with plans to extend the platform to include tenant profiles, enabling renters to build and present a digital reputation across future rental engagements.

Redefining the Rental Market Landscape

By incorporating a systematic credit evaluation into the tenant selection process, Proper Property is setting a new benchmark for the local rental market. This innovative tool enhances trust and minimizes the risks of rental arrears and property damage, ultimately benefitting both property owners and tenants. As the tool gains traction, it is poised to transform the industry by fostering an ecosystem where decisions are data-driven and rental transactions are both transparent and secure.

Conclusion

Proper Property’s Tenant Credit Check Tool exemplifies the impact of technological innovation in traditional markets. By addressing long-standing inefficiencies with a practical, secure, and forward-thinking solution, Kliridis is not only solving immediate problems but also paving the way for a future where the Cyprus rental industry can confidently align with international standards.

The Future Forbes Realty Global Properties

Copyright Law Struggles To Keep Up With AI Training

by News Editor

August 24, 2026

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

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Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.