Rentify raises $2M seed for Earn AI to automate UAE rental revenue management
The $2 million round lifts Rentify to $2.5 million total, accelerating an AI system already used by five enterprise customers.

UAE-based proptech and fintech company Rentify raised a $2 million seed round to launch Earn AI. Founded by Rajneel Kumar and Rashed Hareb, Rentify says Earn AI automates rental revenue management functions for landlords and property managers.
On 22 June, 2026, UAE-based proptech and fintech startup Rentify announced it raised $2 million in a seed funding round to support the launch of Earn AI, an artificial intelligence platform meant to automate rental revenue management for landlords and property managers.
That $2 million is not a vanity number. Rentify says the round brings its total funding to $2.5 million, following a $500,000 pre-seed round completed in 2025. In other words, this is a real expansion of capital behind an AI product that Rentify claims is already in use: five enterprise customers are live, including Gargash Real Estate, New Star Property Management, Arabian Acres Real Estate, Purecare Management, and RSH Holiday Homes Rental.
So what is Earn AI actually doing? Rentify positions Earn AI as more than “chat with your spreadsheets.” The platform is designed to automate key tenancy management functions, including rent collection, tenant onboarding, payment reminders, and lease renewals. It is part of Rentify's broader plan to expand from rental payment infrastructure into what it calls an operating and intelligence platform for the real estate sector. That matters because rental operations are the unglamorous engine room where small frictions become big losses: delays in reminders, manual follow-ups, onboarding steps that take too long, and churn that you only notice after it hits cash flow.
Rentify also provides a concrete thesis for why automation is urgent in its market. According to Rentify, analysis of its customer portfolio indicates landlords and property managers may be leaving between 8% and 14% of annual rental income unrealised. Rentify attributes that gap to pricing gaps, unmanaged tenant churn, and payment leakage. Even if you treat those numbers as directional rather than exact for every building portfolio, the logic is coherent: revenue loss in rental businesses often comes from operational leakage more than from pure demand. Missed pricing opportunities, avoidable churn, and late or incomplete payments are controllable with the right systems.
Incentives are also lining up in a way boards and CFOs tend to like. Earn AI is aimed at two stakeholder groups at once: landlords, who care about realized rent and renewal outcomes, and property managers, who care about operational workload and consistency across units. By automating rent collection workflows and reminders, the product can reduce manual chasing. By handling tenant onboarding and lease renewals, it can help standardize processes that are otherwise handled differently across teams, buildings, and property types.
Rentify says the new seed round was backed by a syndicate of real estate and fintech investors. That mix hints at how this category is usually funded: property cash flow and fintech rails. Rentify's own framing is that it is building AI-driven operating infrastructure for the real estate industry. The second-order effect for decision-makers is that “AI for property” is slowly shifting from experimental to operational. When an AI platform is directly tied to rent collection and renewals, it is closer to revenue enablement than to abstract optimization.
There is also a portfolio reality check embedded in the rollout. The five enterprise customers collectively manage thousands of residential and commercial units across the UAE. That footprint is important for two reasons. First, it gives Rentify enough transactions and tenancy events to improve automation quality over time. Second, it tests whether Earn AI can work in real-world conditions, not just a pilot environment. If these enterprises stick with it, the platform becomes harder to replace because it would be woven into the routines around payment reminders, onboarding steps, and renewals.
From a capital strategy perspective, this announcement also sets a clear next phase. Rentify says it plans to use the new funding to accelerate the rollout of Earn AI and further strengthen its AI-driven operating infrastructure. The company is not starting from zero; it has $2.5 million total funding after the seed and pre-seed, and it already has enterprise usage. For competitors, the question becomes whether Rentify's automation can convert that usage into durable deployments. For investors, the question becomes whether the 8% to 14% unrealised income claim translates into measurable improvements that justify broader adoption.
For executives and boards evaluating similar proptech and fintech bets, the stakes are simple: rental revenue is recurring, but it is also fragile. If Rentify's Earn AI can consistently reduce payment leakage, manage tenant churn, and close pricing gaps, it may turn “AI in real estate” into a real operating system. And in a market where manual processes scale poorly, the winner is often the company that makes revenue management feel less like administration and more like an engine.
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