PropRise GTM brain

category

market profile

• text: CRE acquisition teams screen opportunities and transcribe heterogeneous deal packages into Excel before making investment decisions.
• text: Self-storage developers also need to identify attractive trade areas using market and buy-box criteria.
• text: A November 2026 acquisition report says Doppel acquired PropRise and its founders joined Doppel; confirm product continuity before outreach.

personas

• title: Head of acquisitions
  pains:

  • Deal teams cannot review every opportunity with limited analyst capacity
  • Wants more defensible investment committee data and quicker LOIs
• title: CRE underwriting analyst
  pains:

  • Rekeys rent rolls, offering memoranda and trailing financials into a bespoke Excel model
  • Must trace conflicting inputs back to original pages
• title: Self-storage development or site selection director
  pains:

  • Needs to screen many trade areas against a specific buy box
  • Misses opportunities while researching fragmented local market data

icp

• text: Institutional CRE investors and acquisition teams with repeated underwriting workflows and existing Excel models.
• text: US self-storage operators and developers sourcing acquisitions or new sites across multiple markets.
• text: Multi-property firms with enough incoming deal packages to make manual screening a throughput constraint; customers include operators with thousands of units.

message pillars

• text: Accelerate sourcing and underwriting with defensible inputs.
• text: Keep existing models and retain source-level auditability.
• text: Surface self-storage sites that meet the buyer's investment criteria.

objections

• objection: We cannot trust an opaque AI number in an investment model.
  response: Primer cites cells to original documents and flags conflicts for review.
• objection: We cannot abandon our Excel underwriting model.
  response: Primer maps the customer's chart of accounts and populates its existing model.
• objection: Will setup delay the first deal?
  response: The company states kickoff to first extraction takes two business days; validate against the actual model and data.

competitors

• name: Dealpath
  why: CRE deal and investment workflow platform competing for acquisition teams.
• name: Blooma
  why: Real estate underwriting automation addresses similar deal analysis workflows.
• name: Solsten
  why: CRE underwriting software is an alternative for investment teams.

influencers

• name: Jean-Michael Diei
  url: https://www.linkedin.com/posts/jeanmichaeldiei_2024-was-transformation-in-motion-for-proprise-activity-7279934232737538048-P0nh
  why: Founder discusses the company's pivot and self-storage relationships.

keywords

• CRE underwriting automation
• commercial real estate deal sourcing
• AI rent roll extraction
• self storage site selection
• T12 underwriting software
• Excel real estate underwriting

voice

• Institutional and precise
• Outcome-oriented
• Operational and data-led

signals

• text: Acquisitions team is hiring analysts to handle a growing deal pipeline.
• text: Storage operator is expanding into new US markets or defining a new buy box.
• text: Investment team receives many OMs, rent rolls and T-12s but still manually populates Excel.

stack

• Microsoft Excel

pricing

motion

channels

• LinkedIn
• SEO
• industry relationships

confidence

Founders

• name: Jean-Michael Diei
  title: Founder
  role: Founder
  bio: Big fan of applying machine learning to real-world problems. At PropRise, we're building the AI platform that automates dealmaking workflows for institutional CRE investment teams. Prior to this, I led applied ML efforts across various industries at companies such as Stripe, Embark Trucks and Microsoft. Studied Machine Learning/Computer Vision at Carnegie Mellon University.
• name: Matthew Krager
  title: Founder
  role: Founder
  bio: Heyo! I'm Krager. - Currently working in PropTech. - Long-time iOS and Full-Stack Dev. - Worked on FB Recruiting and Stripe Terminal