PropRise
AI platform for CRE investment teams that automates deal sourcing, underwriting, and workflow execution.
Last reviewed 6/2/26
How PropRise uses AI[1][2][3]
AI agents automate the document-heavy parts of institutional CRE dealmaking, reading deal materials and populating underwriting models with every figure cited back to its source.
- • Primer extracts data from offering memoranda, rent rolls, and T-12 statements into a team's exact Excel model
- • Cites every populated cell back to its source document, such as a specific OM page
- • Reconciles conflicting figures across documents and flags low-confidence extractions for analyst review
- • Beacon scans trade areas nationwide against custom buy-box criteria to surface self-storage opportunities
- • Pairs AI extraction with deterministic validation rules; PropRise states it does not train models on customer data
AI type: LLM, Predictive Analytics
What it helps you do
Built for
Key numbers
- • Claims 75% reduction in time to identify investment opportunities
- • $1.2M pre-seed raised
Credibility
- Founders & team
- Jean-Michael Diei (CEO, ex-ML lead at Stripe, Carnegie Mellon AI MS) and Matthew Krager (CTO, ex-Facebook/Stripe engineer)
- Customers
- 50+ customers including Public Storage
- Investors
- Y Combinator (S23), General Catalyst, Fortified Ventures, Singularity Capital
- Case Studies
- Olympus Ventures: identified a new market and submitted LOI within two weeks using PropRise
Founded
2023
Headquarters
San Francisco, CA
Stage
Seed
Employees
1-10
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