YC S23 PropRise builds AI for institutional commercial real estate PRIMER Turns offering memos into underwriting models, every cell cited BEACON Scans ~450,000 U.S. trade areas for self-storage sites CUSTOMERS Teams behind $50B+ in CRE: Bain Capital, Colliers, Public Storage RESULT One team cut underwriting from 1.5 hours to 10 minutes FOUNDERS Ex-Stripe machine-learning & engineering leads
Company Proptech • Vertical AI San Francisco

PropRise Wants to Delete the Spreadsheet From Real Estate Dealmaking

The YC S23 startup doesn't promise to pick your next deal. It reads the offering memo, builds the model, and shows its work - which is exactly what institutional investors were asking for.

Ask a commercial real estate analyst how they spend a Tuesday and the answer is rarely glamorous. Somewhere in the day, a 200-page offering memorandum lands in an inbox, followed by a rent roll, a trailing-twelve-month statement, maybe a QuickBooks export and a scan of handwritten notes. The job is to read all of it and retype the numbers into a spreadsheet. Then double-check them. PropRise, a San Francisco company that came out of Y Combinator's Summer 2023 batch, was built on a plain observation: this part of the job is enormous, repetitive, and a poor use of a trained analyst's time.

So PropRise decided to do the retyping. Its software reads the deal documents and turns them into a structured underwriting model - and, crucially, cites every number back to the page it came from. That last detail is the whole pitch. In institutional investing, an answer you can't defend is worse than no answer at all.

01 / THE PRODUCTSTwo tools, one grind

PropRise ships two live products, and each attacks a different half of the deal cycle. Primer handles underwriting. Forward it a deal package - offering memos, rent rolls, T-12s, unit-mix lists, QuickBooks exports, even handwritten notes - and it extracts the financials into a model that plugs into the Excel workflows teams already use. It flags conflicts when two documents disagree, and it turns a deal around in roughly two business days. It is aimed at acquisition and brokerage teams underwriting ten or more properties a month.

STEP 01
Forward
Email the deal package - memos, rent rolls, T-12s, notes.
STEP 02
Extract
Primer pulls every financial into a structured model.
STEP 03
Cite
Each cell links back to its source; conflicts flagged.
STEP 04
Underwrite
Model drops into the team's existing Excel workflow.
PropRise wordmark
The house style. No swoosh, no skyline - a plain wordmark for a company whose product is plainness: read the document, show the receipts.

Beacon handles the other end - finding the deal in the first place. It analyzes roughly 450,000 trade areas across the United States and surfaces self-storage opportunities that match a firm's custom buy-box, with one-, three-, and five-mile radius analysis and saved-search alerts. Define what a good site looks like to you; Beacon points at the hotspots.

"We put an LOI on a deal we would have triaged out. That closed." Doug Steverson • COO, Boardwalk Storage

02 / THE NUMBERSWhat actually changes

The case PropRise makes to customers isn't about artificial intelligence in the abstract. It's about hours. The results teams report are concrete and, tellingly, they're phrased as time recovered rather than magic delivered.

Underwriting capacity
(Boardwalk Storage)
10 min
Down from ~1.5 hrs
(LRE Management)
9
LOIs in 12 months
(Global Storage Partners)
Underwriting one deal: before vs. with Primer (illustrative)
Manual
~90 min
With Primer
~10 min

Based on a customer-reported turnaround (LRE Management). Individual results vary by deal.

03 / THE DIFFERENCEShow your work

Plenty of tools now claim to read documents and spit out answers. PropRise's wager is that in institutional real estate, the answer is the easy part; the trust is the hard part. So it leans into traceability - citations, source references and audit trails across both products - so a team can see where every figure came from. It also keeps client data isolated: separate environments, no cross-client visibility, and, the company says, no training on customer data.

The bet isn't autonomous AI that decides. It's accountable AI that can be checked, defended, and put in front of an investment committee.

That's a quieter promise than most AI marketing makes, and it fits the buyer. A self-storage acquisitions lead doesn't want a black box; they want a model they can walk their committee through, line by line, and still stand behind three months later when the deal closes - or doesn't.

04 / THE CUSTOMERSWho's actually using it

PropRise says its tools are used by teams behind more than $50 billion in commercial real estate. The named roster spans institutional investors, brokerages and storage operators.

Bain CapitalColliersPublic StorageMonday PropertiesBoardwalk StorageLRE ManagementLee & AssociatesSpartan Investment GroupUTEXGlobal Storage Partners

The early focus on self-storage was a deliberate beachhead. It's an asset class with fragmented ownership, heavy document flow, and buyers who underwrite constantly - fertile ground for a tool that removes manual data entry. From there, the same underwriting problem generalizes to the rest of commercial real estate.

05 / THE FOUNDERSFrom Stripe to storage

PropRise was founded in 2023 by Jean-Michael Diei and Matthew Krager. Diei, the CEO, led applied machine-learning work at Stripe, Embark Trucks and Microsoft, and studied machine learning and computer vision at Carnegie Mellon. His stated interest is unfussy: applying machine learning to real-world problems. Krager, the CTO, is a longtime iOS and full-stack engineer who worked on Facebook Recruiting and Stripe Terminal. Their common thread - Stripe - is instructive: it's a company obsessed with abstracting away tedious, error-prone workflows. PropRise is that instinct pointed at real estate.

"Big fan of applying machine learning to real-world problems." Jean-Michael Diei • Co-Founder & CEO, PropRise

06 / THE MARKETWhere PropRise fits

PropRise sits in the growing lane of vertical AI - software that goes deep on one industry's workflow rather than selling a general-purpose assistant. Its business model is straightforward B2B software sold to acquisition, investment and brokerage teams, with Primer scoped to shops underwriting ten-plus properties a month. Competitors range from newer AI-underwriting entrants like Whiterock AI and Wiseway AI to the incumbent that's hardest to displace: an analyst and a spreadsheet.

The company is small - roughly a handful of people - and backed by Y Combinator, General Catalyst and MetaProp, among others, from a seed round in late 2023. It's early. But the shape of the opportunity is clear enough: every institutional real estate deal still runs through hours of manual document work, and PropRise is trying to be the layer that quietly removes it.

#proptech#commercial-real-estate#ai#underwriting#self-storage#deal-sourcing#yc-s23#b2b-saas#vertical-ai