AI for PropTech
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Henry AI

AI copilot for commercial real estate brokers that auto-generates offering memorandums, broker opinions of value, and deal decks from raw property data in minutes.

Last reviewed 6/2/26

Category: Finance & Underwriting Loan Processing
Tags: deal-marketingdocument-automationfinancial-modelinggenerative-ai
AI

How Henry AI uses AI[1][2]

Parses a broker's uploaded CRE data (rent rolls, T12 financials, comps, underwriting models, photos) and pairs it with Google's Gemini research model to draft branded offering memorandums, broker opinions of value, and loan packages, with a quality-control team reviewing every deck before delivery.

  • Parses uploaded rent rolls, financials, comps, and underwriting models
  • Connects to Google's Gemini research model to pull public web data
  • Drafts offering memorandums, BOVs, and loan packages in the broker's voice
  • Auto-generates maps, comp tables, and rent roll layouts
  • Routes every deck through a human quality-control review

AI type: LLM, Generative AI, NLP

What it helps you do

Streamline Underwriting Market Analysis Reduce Operating Costs

Built for

Brokers Investors Asset Managers Lenders

Key numbers

  • $3M ARR within first year
  • 5 of top 10 US CRE brokerages
  • 87-92% reduction in deck creation time

Credibility

Founders & team
Sammy Greenwall (CEO, co-founded Lev to Series B/$10M+ ARR, ex-Toll Brothers); Adam Pratt (CTO, founded and sold a tech company)
Customers
5 of top 10 US CRE brokerages, 62+ brokerages, Graystone Capital, True North (Compass)
Investors
Susa Ventures, 1Sharpe Ventures, RXR, Pioneer Fund, Y Combinator
Reviews
Y Combinator S24
Case Studies
Graystone: 4-6 hours to under 30 min per deck; True North: 2-2.5 weeks to 1-2 days

Founded

2024

Headquarters

New York, NY

Stage

Seed

Employees

11-50