A real estate feasibility study is a document that costs a fortune and takes forever, which is exactly why anyone building a new shopping center or apartment block needs one. It is the financial and market due diligence that convinces a bank to lend tens of millions. For decades, producing one meant hiring a boutique consultancy, paying a six-figure fee, and waiting three months. Feasibly, a new startup from Park City, thinks it can do the same job for ten thousand dollars and in under a week [Brief Glance, December 2025]. The bet is not just on speed, but on whether an AI, guided by human experts, can produce analysis a regulated financial institution will trust with its capital.
The wedge is time and money
Feasibly’s platform uses what it calls a multi-agent AI system to ingest project data and publicly available information on demographics, local competition, and construction costs. It then generates a narrative report covering financial modeling and cash-flow projections, all styled as “bank-ready” [Feasibly website, December 2025]. The company claims this process, which includes expert human oversight, takes three to five days [Feasibly how-it-works, 2026]. Pricing starts at $10,000 for a single study, with tiered plans for multiple reports or a subscription [Feasibly website, December 2025].
A team built on decades of analysis
The founder, Brian Connolly, has over two decades in financial feasibility assessment and economic impact analysis, specifically for large sports and entertainment facilities [Columbia University SPS, 2026]. His strategic hire, Russell Scibetti, brings experience from the front office of the New York Football Giants [LinkedIn, 2026].
| Role | Name | Key Background |
|---|---|---|
| Founder & CEO | Brian Connolly | 20+ years in financial feasibility and economic impact analysis [Columbia University SPS, 2026]. |
| SVP, Strategy & Business Intelligence | Russell Scibetti | Former SVP at the New York Football Giants [LinkedIn, 2026]. |
Where the model meets the market
The competitive field is nascent but active. Tools like Zenerate and GrowthGrid also apply AI to real estate analytics. Feasibly’s success hinges on a few critical, unproven assumptions. The “expert human oversight” is a crucial quality gate, but it is also the main cost center. Scaling this service without degrading quality or exploding prices will be a fundamental operations challenge.
The next twelve months
With a $1 million pre-seed round closed at its launch in late 2025, Feasibly’s immediate task is to prove its model works in the wild [Brief Glance, December 2025]. The key metrics to watch will be customer names and renewal rates. A handful of named developer clients using the service for actual bank financing would be a powerful signal. The company will also need to clearly articulate the division of labor between its AI and its human experts, transforming a marketing claim into a credible quality assurance process.