Problem

Commercial real estate brokers lose valuable selling time to the slow, manual work behind each transaction: researching market and property data, building underwriting models, selecting comparable deals, and assembling polished offering materials. Henry’s seed announcement says analysts at several national brokerages were spending roughly 50% of their time on these tasks, while pitch decks traditionally took dozens of hours and weeks of back-and-forth. The economic pain is therefore both labor capacity and lost speed: brokers have less time for clients and may miss competitive listings because they cannot respond quickly enough.

The killer use case is turning a deal brief and rent roll into a complete, client-ready package. Instead of waiting for analysts or marketing teams to compile the work, a broker can quickly produce the underwriting, comps, market analysis, and pitch deck needed to win a listing and move toward closing.

Product / Service

Henry is a vertical AI deal platform and “context engine” for commercial real estate firms. It ingests a firm’s historical decks, rent rolls, models, closed-deal data, CRM information, and brand standards, then uses that context to build a custom Excel underwriting model, rank relevant comps, research the market, identify likely buyers and lenders, and draft an editable, on-brand pitch deck. The underwriting remains in Excel, while changes sync back to the deal write-up, deck, and data room so the materials stay current.

The delivery model is designed to fit existing broker workflows rather than replace them: teams receive a guided onboarding process, can start deals by email or chat, and can edit the generated Excel models and decks themselves. Henry also offers Henry Decks as a standalone product. The benefit is faster, more consistent institutional-quality output—hours rather than days or weeks—while allowing brokers and analysts to spend more time on relationships, judgment, and closing deals.

Market

Henry competes in vertical AI and proptech software for commercial real estate brokerage, especially investment-sales and transaction workflows. Tracxn places it among AI-enabled document-management and underwriting providers for CRE brokers and names VTS, Inside Real Estate, and Rechat as competitors or alternatives, although those companies span broader real estate leasing, CRM, marketing, and operations categories. Henry’s differentiation is its combination of firm-specific data and branding with cited research, live Excel synchronization, underwriting, comps, buyer intelligence, and deal-material production rather than generic chatbot functionality.

Henry is clearly post-revenue and has demonstrated early enterprise adoption. A founder interview reported more than 62 brokerages and nearly $1 million in ARR by the end of July 2025, while the company said several national brokerages—including firms among the top 10 in the United States—were already using it in February 2025. Founded in 2024 and backed by Y Combinator, Henry raised $4.3 million in seed funding in February 2025 and announced a $16.5 million Series A by July 30, 2026; third-party tracking puts cumulative funding at approximately $21 million.