PropRise Launches Primer AI to Cut Manual Data Entry From Self-Storage Deals
PropRise, a San Francisco company focused on data analytics for investors, has launched Primer, an AI-driven service that streamlines underwriting for commercial real estate, including self-storage. The service extracts key data from deal documents and pipes it into a client's proprietary Excel model, cutting hours of manual work.
How Primer Works
- One-time setup: PropRise configures your proprietary Excel model to be compatible with its AI. The "white glove" configuration is completed with full confidentiality.
- Simple workflow: Forward offering memorandums, rent rolls, unit-mix lists, QuickBooks exports, and even handwritten notes to Primer via email.
- Fast output: Receive a fully populated Excel file in under 90 minutes.
- Efficiency gains: Teams save roughly two to four hours per transaction, according to the company.
"We watched talented analysts spend their evenings copying numbers from PDFs into Excel. That's not analysis, it's tedious data entry. These professionals went to top schools to evaluate deals, not to spend hours copying and pasting. Primer handles the mechanical work so they can do what they're actually good at-making investment decisions," said CEO Jean-Michael Diei.
Who It's For
Primer is available to acquisition and brokerage teams underwriting 10 or more properties per month. To kick off the launch, the setup fee will be waived for the first five firms that sign up.
Why It Matters for Real Estate Teams
- Faster bid cycles: Turn documents into models the same day, even on tight timelines.
- Cleaner models: Reduce transcription errors and maintain consistent assumptions across deals.
- Better focus: Analysts can prioritize pricing, comps, and risk instead of data entry.
- Audit-friendly: Inputs are sourced directly from the provided documents, improving traceability.
Company Snapshot
Founded in 2023 by Jean-Michael Diei and Matthew Krager, PropRise builds AI tools that help self-storage investors source opportunities and make data-driven calls on acquisitions and development. The platform tracks more than 55,000 facilities and updates rental statistics weekly for more than 35,000 properties, according to the company.
Steps to Get Value on Day One
- Standardize your Excel model and define a clear data dictionary for fields like unit types, concessions, and economic vacancy.
- Set up a dedicated email alias for deal docs and create a short checklist for brokers and sellers to reduce follow-ups.
- Create a light QA pass: one person verifies rent roll and unit-mix alignment before pricing.
- Track time saved per deal to quantify ROI and adjust staffing to higher-value work.
If your team is building skills around AI-driven underwriting and data analysis, explore curated training by role at Complete AI Training.
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