Uniti Raises $12M Series A to Build Real Estate's AI Operating Layer

Uniti raised a $12M Series A to expand its agentic AI platform for real estate operators. The financing was led by Pathlight and puts fresh capital behind a company focused on automating the repetitive work that grows faster than the portfolio itself.

The New York City startup builds AI agents for sales, leasing, support, maintenance, collections, payments, reviews, renewals, and data analysis. Those agents operate across voice, SMS, email, web chat, and WhatsApp, with Uniti saying the platform integrates with more than 15 property management and CRM systems.

The broader implication is more interesting than another AI funding announcement. Real estate already has plenty of software for storing information. Uniti is betting the next valuable layer will execute an operator's playbook across channels, properties, and workflows.

What Happened

The $12M Series A was led by Pathlight, with MetaProp participating alongside existing investors Prudence, Flex Capital, Alate, and RE VC. Individual investors named in the announcement include Romain Huet, Lenny Rachitsky, and Gokul Rajaram. Uniti did not disclose a valuation or additional deal terms.

The financing follows a $4M seed round announced in March 2025 and led by Prudence. The two disclosed financings bring Uniti's publicly announced funding to at least $16M. That total is derived from the company's announcements, as no cumulative funding figure was disclosed with the Series A.

Uniti says the new capital will support additional AI agents, integrations, vertical expansion, and customer deployments. The company plans to expand into self-storage, senior living, multifamily, manufactured housing, and flexible workspace, extending the platform well beyond the sales and leasing workflows that defined its earlier stage.

Why This Matters

Real estate operations create an unusually fragmented software problem because the work is disconnected while the outcomes remain tightly linked. A missed leasing call becomes lost revenue. A maintenance request becomes a resident experience issue. A failed handoff turns a routine question into another task for an already overloaded operations team.

Traditional systems of record digitized information without making the work autonomous. Uniti's thesis is that an AI layer can sit above the existing technology stack, follow the operator's rules, and carry a workflow from conversation to execution without forcing another rip-and-replace migration.

That distinction matters for vertical AI. General-purpose assistants can answer questions, but enterprise budgets tend to favor systems that fit established operating processes, integrate with existing software, and produce measurable business outcomes. Uniti is trying to make AI useful inside the operational reality of a property portfolio, where consistency becomes more valuable as every new location creates another opportunity for work to fall through the cracks.

From Leasing Agent to Operating Layer

Uniti began with AI agents focused on lead engagement, qualification, and scheduling. The platform now extends into support, maintenance triage, collections, payments, customer reviews, renewals, and portfolio data analysis, turning its initial leasing wedge into a broader operating layer.

The company says its agents communicate across five channels while integrating with more than 15 property management and CRM platforms. Rather than replacing those systems, Uniti positions its platform as the orchestration layer coordinating conversations and workflows across them.

That architecture is the strategic bet behind the financing. If the platform can preserve an operator's existing processes while automating execution, it can expand from one workflow to many, and from one property to an entire portfolio, without requiring customers to rebuild their underlying technology stack.

The Evidence Investors Are Watching

Uniti reports that 94% of pilots convert into long-term contracts, net revenue retention is 306%, and one enterprise self-storage operator measured a 214% return on investment. Co-founder and CEO Francesco Decamilli also says Uniti's AI agents handle more than 300,000 two-way conversations each month.

Those figures are company-reported and should be interpreted accordingly. Even so, the combination of pilot conversion, customer expansion, and workflow volume reflects the adoption pattern many vertical AI investors hope to see: customers begin with a narrow use case, retain the product, and then expand deployments across additional workflows.

Uniti names Regus, StorQuest, RHP Properties, Storage King USA, and Fora among its customers. Storage King USA CEO Brian Cohen said Uniti's agents handle 100% of the company's inbound calls across its locations, providing an example of how the platform can move from pilot project to frontline operating infrastructure.

Founders Built Around the Workflow

Uniti was founded by Yale classmates Francesco Decamilli and Emre Altinok. Decamilli serves as CEO and brought experience in real estate operations, while CTO Emre Altinok contributed the machine learning expertise behind the platform.

That combination shaped the company's product thesis. Uniti is not asking property operators to become AI experts. It is trying to encode the operating processes they already understand and execute them consistently across every customer interaction and every property.

The Series A gives Uniti the opportunity to test how far that model can extend. Sales and leasing created the entry point, but support, maintenance, payments, collections, and renewals are where the platform becomes more difficult to dismiss as another chatbot wrapped in real estate terminology.

Competitive Context

The market is not lacking AI tools promising faster responses or fewer manual tasks. The more important competitive question is whether a platform can integrate with the systems operators already use, handle specialized workflows safely, and continue delivering value long after the initial pilot.

Uniti's reported 306% net revenue retention suggests existing customers are expanding their deployments, although the company has not published audited revenue data or the underlying cohort information. The figure should therefore be viewed as a directional operating signal rather than a complete financial picture.

The platform's expanding scope also raises the execution challenge. Every additional workflow introduces new business rules, permissions, integrations, and failure modes, meaning the same expansion that creates a larger opportunity also increases the operational complexity Uniti must manage.

What This Signals

Pathlight's investment reflects a broader shift toward AI that performs specific work inside complex industries. Real estate provides a useful proving ground because its workflows are repetitive, high volume, and directly connected to revenue, service quality, and operating cost.

For buyers, the practical test is not whether an AI agent can generate an impressive response. It is whether the system can follow the operating playbook across two properties or two hundred, escalate exceptions appropriately, preserve the customer experience, and demonstrate an economic return that lasts beyond the pilot.

For investors, that creates a clearer filter. Integration depth, contract conversion, customer expansion, and workflow volume reveal far more than a polished demonstration, particularly in an industry where new software has often become just another system employees must manage.

The Bigger Industry Shift

Uniti's $12M Series A does not prove every real estate workflow should be automated, nor does it eliminate the need for human judgment. It does illustrate where vertical AI is becoming increasingly credible: inside repeatable operating processes where customers already understand the work and can measure whether the agent performs it correctly.

The next phase will depend on reliability, integration depth, and expansion without sacrificing control. If Uniti can preserve an operator's best processes while absorbing more of the repetitive execution, the company may build something more durable than another AI feature. It may become an operating layer with a lasting role inside the real estate technology stack.