Dubai-based proptech and fintech startup Rentify has successfully closed a $2 million seed funding round from a consortium of real estate and fintech investors. This new capital injection brings the company's total funding to USD 2.5 million, following an earlier pre-seed round. The funds are earmarked for the launch of Earn AI, an innovative artificial intelligence platform designed to revolutionize rental property management across the GCC.
Strategic Expansion into AI-Powered Property Management
This funding marks a significant evolution for Rentify, which initially focused on building payment infrastructure for the rental market. The company is now strategically positioning itself as a comprehensive operating system for rental real estate. The infusion of capital will directly support the rollout and enhancement of its new AI-driven platform, aiming to automate key industry functions.
Rentify is addressing a critical challenge where property managers oversee vast portfolios, often relying on manual processes for routine tasks. Many landlords face revenue loss due to operational inefficiencies in rent collection, tenant retention, and pricing strategies. The company's new platform is engineered to automate this workload and help property owners maximize income from their existing assets.
Introducing Earn AI: An Autonomous Platform
Unlike traditional software that offers passive dashboards and analytics, Earn AI is designed to be an agentic, action-oriented platform. It autonomously handles tasks such as sending rent reminders, creating tenant accounts, and monitoring lease renewal timelines. This proactive approach allows it to manage entire portfolios without requiring manual intervention at the individual unit level.
The company estimates that landlords and property managers can lose between 8% and 14% of potential annual rental income. This loss stems from delayed rent adjustments, ineffective tenant retention, and revenue leakage during collection. Earn AI is built on a proprietary model trained on live tenancy data to identify and act on these revenue optimization opportunities.
Tailored for the GCC Market
A key differentiator for Earn AI is its development as an Arabic-native platform tailored specifically for regional market dynamics. Rather than adapting software from Western markets, Rentify built the system from the ground up to align with GCC rental practices. This includes integrating local payment systems, managing check-based payments, and facilitating Arabic-first communication with tenants.
Founded by Rajneel Kumar and Rashed Hareb, Rentify has already established a strong presence with five enterprise clients, including Gargash Real Estate and New Star Property Management. These clients collectively manage thousands of residential and commercial units across the UAE. The platform's early adoption by major industry players underscores the market's demand for such a specialized solution.
Future Outlook and Industry Impact
With the new capital, Rentify plans to enhance Earn AI's model performance by leveraging expanding portfolio data and developing additional autonomous agents. The company will also focus on increasing platform adoption among property management companies. Furthermore, the funding will support the initial stages of its planned international expansion beyond the GCC.
The launch of Earn AI reflects a broader trend in the GCC's increasingly institutionalized rental markets. There is a growing demand for sophisticated software that automates operational decisions rather than just recording transactions. Such platforms enable property managers to scale their portfolios more efficiently while offering investors greater transparency into asset performance.
This $2 million seed round is a pivotal moment for Rentify, empowering it to redefine rental management in the Middle East. By launching its autonomous AI platform, the company is not just digitizing existing processes but creating a unified infrastructure layer. This vision connects payments, financing, and revenue management to build a more intelligent and efficient rental real estate ecosystem.