Feasibly’s AI Cuts Real Estate Analysis from Months to Days

PARK CITY, UT – December 02, 2025 – A new technology firm is poised to radically accelerate the pace of real estate development by tackling one of its most notorious bottlenecks: the feasibility study. Feasibly, a startup founded by veterans of market and financial analysis, launched today with an AI-powered platform that promises to deliver bank-ready feasibility reports in days, a task that traditionally consumes months of labor and significant capital.

The company's patent-pending software blends multi-agent artificial intelligence with expert human oversight, aiming to modernize how developers, lenders, and investors vet the viability of commercial projects. “Feasibly’s founders spent decades conducting feasibility studies for complex development projects,” said Brian Connolly, Founder & CEO, in the launch announcement. “Based on that experience, we built Feasibly with proven analytical methods, proprietary data, and AI automation to make professional-grade feasibility analysis accessible to more builders, funders, and planners.”

Tackling the Pre-Construction Bottleneck

In the high-stakes world of commercial real estate, the pre-construction phase is a minefield of risk and uncertainty. Before a single shovel breaks ground, developers must navigate a complex process of site selection, design, and, most critically, financial and market validation. The feasibility study is the cornerstone of this process, providing the detailed analysis of demographics, market demand, competitive landscape, and cash-flow projections that lenders require to finance a project.

Traditionally, this has been a slow, manual, and expensive endeavor. Consulting firms can take months to compile the necessary data, conduct analysis, and produce a final report. This protracted timeline not only delays projects but also exposes them to market volatility. A project that seemed viable at the start of a three-month study might face a completely different economic landscape by its conclusion. This inherent lag creates significant risk and can lead to missed opportunities or, worse, investment in ill-fated developments based on outdated intelligence. The industry has long been ripe for a solution that can deliver comprehensive insights with greater speed and agility.

Feasibly enters this environment by directly targeting these pain points. By drastically reducing the turnaround time to an average of three days, the platform enables stakeholders to make faster, more informed go/no-go decisions, allowing them to evaluate more potential projects and deploy capital with greater confidence and precision.

The Multi-Agent AI and Human Synergy

At the heart of Feasibly’s platform is a sophisticated multi-agent AI system. This is not a single, monolithic algorithm but a coordinated team of specialized large language models (LLMs), each trained for a specific task. One agent might be an expert in retrieving and verifying real-time demographic and economic data from verified sources. Another specializes in analyzing comparable development trends and competitive benchmarks, while a third is dedicated to constructing complex financial models and cash-flow projections. A final agent synthesizes these disparate data streams into a coherent narrative report.

This multi-agent approach mirrors the collaborative workflow of a human analysis team but executes it at machine speed. The system's data pipeline is fortified by what the company describes as over two decades of its founders' proprietary project data and methodologies. This historical dataset provides a deep well of contextual knowledge that informs the AI's analysis, while integration with verified real-time market intelligence and tightly controlled web retrieval ensures the outputs are current.

However, the company is quick to emphasize that this is not a fully automated, “black box” solution. A critical component of their model is the “human-in-the-loop” review process. Every AI-generated report is meticulously vetted by Feasibly’s own team of human analysts before it reaches the client. This final step ensures the report meets rigorous industry standards for accuracy, narrative clarity, and reporting best practices—crucial for earning the trust of conservative financial institutions. This hybrid model aims to deliver the best of both worlds: the unparalleled speed and data-processing power of AI, combined with the nuanced judgment and quality assurance of seasoned human experts.

De-Risking Deals in a Competitive Market

The strategic implications of this technological leap are significant. For developers, the ability to receive a bank-ready report in 72 hours transforms the front-end of the development process. It allows for rapid-fire assessment of multiple sites or concepts, enabling them to quickly pivot or double down on the most promising opportunities. This agility is a powerful competitive advantage in a fast-moving market.

For investors and lenders, the platform offers a new standard in due diligence. Faster, data-driven insights reduce uncertainty and mitigate financial risk. The ability to cross-reference AI-driven projections with a system built on decades of real-world project data provides an additional layer of confidence.

Feasibly is launching into a burgeoning proptech ecosystem where AI is already making inroads. Companies like TestFit and Archistar use AI to optimize site selection and building design, while platforms like Built AI and HelloData automate financial modeling and market analysis. Feasibly differentiates itself by offering a comprehensive, end-to-end feasibility study—the complete package required for securing financing—rather than focusing on a single piece of the puzzle. It aims to disrupt not just legacy spreadsheets, but the entire traditional consulting model that has long dominated this space.

A Scalable Model Built on Expertise

Feasibly's business model reflects its premium positioning. With reports starting at $10,000, the company is targeting serious players in the commercial development space who understand the immense value of speed and accuracy when millions of dollars are on the line. Backed by $1 million in pre-seed funding, the platform has been engineered for scalability.

At launch, the service supports six key project categories, including multi-family, retail, hotel, and mixed-use developments. The company has already announced plans to expand into other sectors like single-family residential, student housing, and medical facilities. The underlying AI architecture is designed for continuous learning, meaning the system should become progressively smarter and more efficient as it processes more data and completes more studies.

Ultimately, Feasibly's long-term competitive advantage may not rest on its AI alone, but on the powerful synthesis of technology and deep domain knowledge. The combination of proprietary data, proven methodologies refined over decades, and a commitment to expert human oversight creates a formidable barrier to entry. By embedding the wisdom of its veteran founders directly into its code, Feasibly is not just automating a process; it is attempting to scale expertise itself. This approach could set a new benchmark for how professional services across various industries leverage technology to enhance, rather than replace, human intelligence.