Self-storage underwriting has always had a data problem. Investors working a deal had to pull competitive market reports from one platform, scrub rent rolls manually from PDFs, cross-reference occupancy estimates against broker-supplied numbers that had no third-party verification, and then rebuild everything in a spreadsheet before they could form a credible view on value. That process regularly consumed two to three weeks of analyst time before a letter of intent could be submitted.
Two platforms that launched or significantly expanded in the past eight months are dismantling that workflow. TractIQ's AI Connector, released May 12, 2026, puts verified data on more than 70,000 self-storage facilities directly inside Claude, ChatGPT, and any MCP-compatible AI tool. PropRise's Primer, which launched in fall 2025, extracts rent rolls, unit-mix lists, and trailing financials from deal documents and populates the buyer's existing Excel model in under 90 minutes. Neither tool is incremental. Both change what it means to underwrite a self-storage deal at speed.
Self-storage transaction volume exceeded $8 billion in 2025, according to Cushman and Wakefield. In a market moving that much capital, speed is a structural advantage. Buyers who can deliver a credible LOI in days rather than weeks are not just more efficient; they are winning deals that slower underwriters never see.
What Was Broken About the Old Workflow?
The standard self-storage underwriting process starts with a rent roll and a trailing 12-month operating statement. From those documents, an analyst needs to calculate revenue per available square foot by unit type, identify pricing gaps versus market rates, model occupancy trajectories under various assumptions, apply expense benchmarks, and arrive at a supportable cap rate and valuation. None of that is conceptually difficult. All of it is time-consuming when done manually.
The bottleneck is data extraction, not analysis. An offering memorandum for a mid-size self-storage facility might include a 15-tab Excel rent roll, a PDF operating statement with non-standardized line items, a unit-mix summary that does not match the rent roll structure, and a broker-supplied competitive analysis that is neither verified nor current. An analyst who can model a deal in an hour might spend four to six hours just normalizing the inputs.
"Data entry is the bottleneck that keeps us from doing more deals. Primer turns a 2-4 hour manual task into something that's done automatically, so we can get more BOVs out the door and ultimately win more listings."
- Tom De Jong, EVP, Colliers
The second problem is market data quality. Street rates, competitor occupancy, and supply pipeline figures have historically required subscription access to multiple platforms, manual exports, and time-consuming reconciliation. Even with access to data, assembling it into an underwriting-ready format meant toggling between browser windows and spreadsheet tabs for hours.
TractIQ AI Connector: Verified Data Inside the AI
TractIQ's AI Connector, launched May 12, 2026, addresses the market data side of the problem. The platform pulls its verified dataset, covering parcel-level intelligence on more than 70,000 self-storage facilities across the country, directly into Claude, ChatGPT, and any other MCP-compatible tool. Users query the dataset through natural language without exporting files or switching platforms.
The dataset behind the connector is the most comprehensive in the self-storage industry. Street and web rate histories go back to 2018. Supply pipeline coverage includes proposed, under-construction, and recently delivered projects by market. Owner and operator data is included at the facility level. The deepest layer is the verified operating performance data: facility-level occupancy and financial performance on 4,000 stores representing more than $50 billion in CMBS-financed assets, sourced through TractIQ's partnership with CRED iQ announced in January 2026.
That CMBS layer is significant. The data is borrower-reported and disclosed to lenders and rating agencies under commercial mortgage securities requirements, which makes it verified in a way that broker-supplied or scraped data is not. Before this partnership, self-storage was one of the few major commercial real estate asset classes where investors could not access verified operating performance at scale. Underwriting without it required accepting a level of information asymmetry that institutional buyers in other asset classes had already eliminated.
Noah Starr, CEO of TractIQ, describes the workflow change directly: an investment memo that took an analyst three days can now be built in minutes inside Claude. The connector drops verified comps, demographic inputs, supply markers, and rate histories into the conversation automatically. The memo assembles itself in the AI rather than being reconstructed from data pulled across five different tabs.
PropRise Primer: 90 Minutes from Documents to Excel
PropRise launched Primer in fall 2025 to solve the document extraction side of the problem. The workflow is straightforward: a user forwards deal documents to Primer by email, including offering memorandums, rent rolls, unit-mix lists, QuickBooks exports, and handwritten notes. Primer extracts the relevant data and returns a fully populated version of the buyer's own Excel model within 90 minutes.
The tool targets acquisition and brokerage teams that underwrite 10 or more properties per month, a segment where the cumulative time lost to manual data entry is significant. PropRise's own figures put the savings at 10 or more hours per week per team. LRE Management, an early Primer user, reported cutting per-deal time from 1.5 hours to 10 minutes.
The key design choice is that Primer populates the client's existing model rather than imposing a new one. Most institutional buyers have underwriting models built over years with specific cell structures, formula logic, and formatting standards. Tools that require migrating to a new model face adoption friction regardless of their underlying quality. Primer handles setup once, mapping the extraction output to each client's format, and then works transparently within the existing workflow.
PropRise was founded in 2023 by Diei and Matthew Krager and initially focused on helping investors identify self-storage acquisition opportunities using AI-powered market data. Primer extends that into the transaction execution layer, turning market screening into full deal underwriting within a single platform relationship.
What Verified Data Actually Changes in Underwriting
The combination of TractIQ's verified CMBS performance data and AI-native querying changes underwriting in a specific and important way: it eliminates the excuse of information asymmetry.
In the old model, buyers without verified operating data were making two different bets simultaneously. They were betting on the asset's performance and on whether the seller's reported numbers were accurate. Both bets carried risk, and neither could be fully resolved during diligence on a compressed timeline. The consequence was that buyers either required longer diligence periods to validate seller representations or accepted more uncertainty in their underwriting assumptions, typically through wider cap rate spreads or deeper discount assumptions.
Verified CMBS data collapses that second bet. If a facility's occupancy and NOI are documented in regulatory disclosures that lenders and rating agencies rely on, the buyer's underwriting can start from a known baseline rather than an unverified claim. That does not eliminate diligence; it redirects diligence toward forward-looking assumptions, where buyer judgment is the actual edge, rather than backward-looking verification of facts that should not be in dispute.
CRE firms that have adopted AI-powered due diligence tools more broadly report 50 to 70% reductions in overall diligence timelines and 30 to 40% reductions in cost, according to industry surveys of the M&A market. Self-storage-specific adoption is earlier stage, but the directional impact is consistent with what TractIQ and PropRise users are reporting: hours instead of days, days instead of weeks.
Why Faster Underwriting Compounds Into Competitive Advantage
Deal speed matters differently at different points in the market cycle. In 2024 and early 2025, when self-storage transaction volume was suppressed by rate uncertainty, slow underwriting was inconvenient but not decisive. Deals sat on the market long enough that buyers had time to be thorough regardless of their process efficiency.
The market is moving again. CRE investment activity is forecast to reach $562 billion in 2026, with self-storage continuing to attract institutional capital after the Public Storage acquisition of National Storage Affiliates. Motivated sellers, regional portfolios coming to market, and the maturity wall creating forced transaction events are all accelerating the pace at which deals surface and close.
In this environment, the buyer who can deliver a credible underwritten LOI in 48 hours has a meaningful structural advantage over the buyer who takes two weeks to finish their analysis. Sellers in time-sensitive situations, which includes a significant portion of the current deal flow, will accept a modestly lower offer from a buyer who is ready to move over a higher number from a buyer who needs three more weeks.
The investors compounding this advantage are not just faster at individual deals. They can run more deals in parallel, screen a larger portion of the opportunity set, and commit capital to more opportunities per year without growing their analyst headcount proportionally. AI-powered investors acquiring facilities from traditional operators report NOI improvement of 15 to 30% within the first 12 to 18 months, according to data from The AI Consulting Network, through a combination of pricing optimization and operational efficiency. Faster acquisition processes accelerate how quickly that value creation begins.
The Numbers Worth Writing Down
- TractIQ AI Connector: launched May 12, 2026; parcel-level data on 70,000-plus facilities; rate histories to 2018
- TractIQ and CRED iQ partnership (January 20, 2026): verified occupancy and financial performance on 4,000 stores; $50B-plus in CMBS-backed assets
- PropRise Primer: deal documents to populated Excel in under 90 minutes; saves 10-plus hours per week per underwriting team
- LRE Management per-deal time with Primer: reduced from 1.5 hours to 10 minutes
- Investment memo build time with TractIQ AI Connector: from three analyst-days to minutes inside Claude
- CRE firms using AI due diligence tools: 50-70% reduction in diligence timelines, 30-40% cost reduction
- Self-storage transaction volume: exceeded $8B in 2025 (Cushman and Wakefield)
- AI-powered acquisition operators: 15-30% NOI improvement within 12-18 months post-acquisition
The Data Gap Is Closing. The Speed Gap Is Opening.
Self-storage has always been a relationship-driven market where operators carried information advantages over outside buyers. That advantage was partly geographic and partly structural: sellers knew their own numbers, buyers had to take their word for it and trust their own market estimates.
The platforms coming online in 2025 and 2026 are systematically closing that information gap. Verified CMBS performance data from CRED iQ removes the uncertainty around historical financials. TractIQ's 70,000-facility dataset with eight years of rate history removes the uncertainty around market positioning. Primer removes the friction of getting those inputs into an underwriting model before the seller moves on.
What opens in place of the data gap is a speed gap. The buyers who have these tools and have built them into their workflow can operate at a pace that buyers relying on manual research cannot match. In a market where interest rate relief is improving deal economics and transaction volume is recovering, that speed gap will translate directly into a larger share of completed acquisitions. The tools are built. The data is verified. The question is which buyers are using them.
Sources
- TractIQ Launches AI Connector, Bringing Verified Self-Storage Data Into Claude and ChatGPT, TractIQ
- Self-Storage Market-Intelligence Platform TractIQ Launches AI Connector for ChatGPT and Claude, Inside Self-Storage
- TractIQ and CRED iQ Establish Verified Operating Performance as the New Underwriting Standard for Self-Storage, CRED iQ
- Self-Storage Intelligence Platform TractIQ Partners With CRED iQ, Inside Self-Storage
- TractIQ and CRED iQ Establish Verified Operating Performance as the New Underwriting Standard for Self-Storage, CRE Daily
- PropRise Offers AI Service for Self-Storage Real Estate, Inside Self-Storage
- PropRise Primer AI Turns Self-Storage Deal Documents into Excel in 90 Minutes, Complete AI Training
- Colliers EVP Praises PropRise for Removing Underwriting Bottlenecks, Modern Storage Media
- AI for Self-Storage Investing: Facility Analysis Guide, The AI Consulting Network
- Data Driven: Noah Starr Solves The Self-Storage Data Gap, Modern Storage Media
- How AI Is Transforming CRE Due Diligence in 2026, Crevanta