A UAE proptech raises $2 million to automate rent revenue

Published: 2026-06-23T10:50:17.000Z

There is a number that should make any landlord wince, and it sits at the heart of Rentify's latest raise. The UAE based startup reckons property owners lose 8 to 14 percent of annual rental income to pricing lag and payment leakage. It has raised $2 million in a seed round to attack that gap with a new platform, Earn AI.

There is a number that should make any landlord wince, and it sits at the heart of Rentify's latest raise. The UAE based proptech and fintech startup reckons that property owners and managers are quietly leaving somewhere between 8 and 14 percent of their potential annual rental income on the table, lost to pricing lag, tenant churn and payment leakage. Rentify has just raised $2 million in a seed round to attack that gap, with the money funding the launch of a new platform called Earn AI. The round brings the company's total funding to $2.5 million, following a $500,000 pre-seed in 2025, and was backed by a syndicate of real estate and fintech investors. The product is where the story gets interesting, because Rentify is making a deliberate shift in what kind of company it is. It started life as rental payment infrastructure, helping tenants pay landlords in instalments and automating rent collection. Earn AI pushes it up the value chain into what the company calls an operating and intelligence layer for real estate, built on an agentic AI model that does not just surface data but actually executes tasks. The platform autonomously handles rent collection, tenant onboarding, payment reminders and lease renewals across an entire portfolio, triggering actions rather than waiting for a property manager to log in and react. As co-founder Rajneel Kumar put it, most landlords cannot even answer which of their units is underearning and by how much, and he frames the shortfall as an infrastructure problem rather than a data one. What gives the pitch credibility is that this is not a concept demo. Earn AI is already deployed by five enterprise customers, including Gargash Real Estate, New Star Property Management, Arabian Acres Real Estate, Purecare Management and RSH Holiday Homes Rental, which between them manage thousands of residential and commercial units across the UAE. Crucially, the underlying model is trained on live operational data drawn from those portfolios, covering tenant payment behaviour, renewal patterns, pricing opportunities and vacancy risk, rather than broad market averages. That distinction matters, since an AI fed real tenancy data from active customers can spot a specific underperforming unit in a way generic market indicators cannot. The founders bring a notable backdrop too. Founded in 2025 by Rashed Hareb and Rajneel Kumar, Rentify has assembled an advisory bench heavy with UAE real estate and finance heavyweights, including figures tied to Emaar, Dubai Islamic Bank and Rothschild & Co. The fresh capital is earmarked for improving Earn AI's model performance, expanding its autonomous agents, driving adoption among property managers and supporting international expansion. The regional read is squarely about the moment UAE proptech is having. Rent is one of the largest recurring expenses in Dubai and Abu Dhabi, where tight supply and population growth keep the market buoyant, making rental income optimisation a genuinely valuable problem to solve. The broader regional shift, from tools that merely analyse toward agentic systems that act, is exactly the wave Rentify is riding, and it fits a UAE pattern where proptech and fintech increasingly blur into a single, automated operating layer for real estate.