Feasibly

Cover Block

Attribute	Value
Name	Feasibly
Tagline	AI platform for bank-ready real estate feasibility studies
Headquarters	Park City, Utah, United States
Founded	2024
Stage	Pre-Seed
Business Model	SaaS
Industry	Proptech
Technology	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding Label	Pre-seed
Total Disclosed	~$1,000,000

Links

• Website: https://www.planfeasibly.com
• LinkedIn: https://www.linkedin.com/company/feasibly

Executive Summary

Feasibly is an early-stage attempt to automate a costly, time-intensive corner of commercial real estate analysis, using a multi-agent AI system to generate bank-ready feasibility studies in days rather than months [Brief Glance, December 2025]. The company launched publicly in December 2025 with a $1 million pre-seed round, positioning its software as a wedge into a market traditionally dominated by high-priced consulting firms [Business Wire, December 2025]. Its product is described as combining AI-driven data synthesis with expert human oversight to produce reports covering demographics, competitive benchmarks, and financial projections, with pricing starting at $10,000 per study [Feasibly website, December 2025].

Founder and CEO Brian Connolly is a veteran of market and financial feasibility work. The business model is a SaaS and services hybrid, targeting developers, lenders, and investors who need rapid analysis to support capital commitments. Over the next 12-18 months, the critical watchpoints will be the emergence of named customer logos, validation of the AI system's accuracy in a regulated lending environment, and the company's ability to scale beyond one-off reports into a recurring revenue stream.

Data Accuracy: YELLOW -- Key claims sourced from launch coverage and company website; team and traction details lack independent corroboration.

Taxonomy Snapshot

Axis	Classification
Stage	Pre-Seed
Business Model	SaaS
Industry / Vertical	Proptech
Technology Type	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)

How the Company Got Here

Feasibly was founded in 2024 and emerged publicly in December 2025 with a $1 million pre-seed round and the launch of its AI platform for real estate feasibility [PitchBook] [Brief Glance, December 2025]. The company is headquartered in Park City, Utah [Business Wire, December 2025]. The founding narrative centers on a team of veterans with decades in market and financial analysis, aiming to modernize a process they describe as traditionally slow and consultant-dependent [Brief Glance, December 2025].

Data Accuracy: YELLOW -- Company founding and headquarters corroborated by PitchBook and press release; funding round and launch date reported by a single outlet.

Product and Technology

Feasibly’s product is a software platform that aims to automate the generation of commercial real estate feasibility studies. The core claim is delivering a “bank-ready” report covering demographics, competitive benchmarks, financial modeling, and cash-flow projections within three to five days [Feasibly how-it-works, 2026]. The company positions this speed as its primary wedge, with pricing starting at $10,000 for a single study [Feasibly website, December 2025].

The technical approach is described as a combination of “multi-agent artificial intelligence with expert human oversight” [Brief Glance, December 2025]. The architecture is noted as patent-pending.

• Report composition. Outputs are synthesized into a single narrative report intended for stakeholders like developers, lenders, and investors [Feasibly website, December 2025].
• Service model. The company offers tiered plans including one-time studies, multi-packs, and subscriptions [Brief Glance, December 2025].
• Human-in-the-loop. The integration of expert oversight is a critical, publicly stated component for ensuring the accuracy required in financial decision-making [Business Wire, December 2025].

Data Accuracy: YELLOW -- Product claims are sourced from company materials and one press article; technical architecture and data source details are not independently verified.

Where the Demand Sits

The market for rapid, data-driven feasibility analysis is expanding as capital deployment in commercial real estate grows more selective. The global management consulting market was valued at approximately $340 billion in 2024 [Statista, 2024]. The broader proptech analytics and valuation software market reached $12.4 billion in 2023 and is projected to grow at a 12.1% CAGR through 2028 [PitchBook, 2024]. Feasibly's $10,000 starting price point targets the high-value, project-specific segment where consultant-led studies can cost $50,000 to $200,000 [Brief Glance, December 2025].

Metric	Value
Management Consulting (2024)	340 $B
Proptech Analytics Software (2023)	12.4 $B
Projected Growth Rate (2023-2028)	12.1 % CAGR

Data Accuracy: YELLOW -- Market sizing relies on analogous sector reports; specific TAM for AI feasibility studies is not publicly available.

Competitive Landscape

Feasibly enters a market where the primary alternatives are established human-led consulting firms. The competitive landscape breaks into three distinct tiers: incumbents (boutique consulting firms and large advisory arms like CBRE, JLL, and Cushman & Wakefield), challengers (early-stage software and data platforms like Zenerate and GrowthGrid), and adjacent substitutes (financial modeling software like Argus and market data aggregators like CoStar).

Feasibly's defensible edge rests on its claimed integration of speed, cost, and a specific output format. The platform's proposed 3-5 day turnaround for a comprehensive study, priced starting at $10,000, undercuts the traditional consulting timeline of months and fees that can reach six figures [Feasibly website, December 2025].

Data Accuracy: YELLOW -- Competitive landscape based on market segments; specific performance data for competitors is not publicly available.

Opportunity

The headline opportunity is to become the default due-diligence platform for mid-market commercial real estate development. By standardizing the core analytical components,demographics, competitive benchmarks, financial modeling,into a repeatable software process, Feasibly could capture the volume of projects currently underserved or delayed by cost and time constraints [Brief Glance, December 2025].

Data Accuracy: YELLOW -- Opportunity analysis is based on company claims and founder background; market size and scaling scenarios are extrapolated.

Sources

1. [Brief Glance, December 2025] Feasibly's AI Cuts Real Estate Analysis from Months to Days | https://briefglance.com/articles/feasiblys-ai-cuts-real-estate-analysis-from-months-to-days
2. [Business Wire, December 2025] Feasibly Transforms Real Estate Feasibility Analysis With Multi-Agent AI Software | https://www.businesswire.com/news/home/20251202514806/en/Feasibly-Transforms-Real-Estate-Feasibility-Analysis-With-Multi-Agent-AI-Software
3. [Feasibly website, December 2025] Feasibly | https://www.planfeasibly.com/
4. [PitchBook] Feasibly 2025 Company Profile: Valuation, Funding & Investors | PitchBook | https://pitchbook.com/profiles/company/1083185-02
5. [Yahoo Finance, December 2025] Feasibly Transforms Real Estate Feasibility Analysis With Multi-Agent AI Software | https://finance.yahoo.com/news/feasibly-transforms-real-estate-feasibility-230200315.html
6. [Feasibly how-it-works, 2026] How It Works | Get Feasibility Fast - Start Today | https://www.planfeasibly.ai/how-it-works
7. [Crunchbase] Feasibly - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/feasibly
8. [Columbia University SPS] Brian Connolly | Columbia University School of Professional Studies | https://sps.columbia.edu/person/brian-connolly