The AI-driven Credit Committee Challenger for commercial real estate.
StrixRE is the governance layer between a deal and a decision — validating assumptions, flagging breakpoints, and producing IC-ready risk summaries that hold up to regulators, LPs, and the next credit cycle.
Deal volume has tripled. Credit teams haven't.
The CRE industry is staring down a $2 trillion debt maturity wall through 2028. Every refinancing requires full re-underwriting. Every stress test multiplies. And the analyst pool that processes it all has not grown.
Traditional underwriting is static. A PDF memo is obsolete the moment it prints. Insurance shocks, tax reassessments, and rate sensitivity can't be captured in a point-in-time model — and they're exactly the forces killing deals today.
Meanwhile, analysts under pressure "solve for the loan," smoothing expenses and compressing exit caps to move deals forward. There is no automated, objective challenger to stress-test those biases before they reach committee.
StrixRE is that challenger.
Three sides of the same deal. Each with a different stake.
Every institutional CRE loan passes through three desks before it closes — the lender underwriting the risk, the sponsor underwriting their own story, and the broker packaging both sides to market. StrixRE is built for all three.
The Credit Committee Challenger.
"We need a defensible risk summary, faster than we can produce it manually, before this refinance wave breaks us."
- Policy-aware reasoning against your specific Credit Box, with every exception logged.
- Audit-ready trails that satisfy FDIC, Fed, and LP oversight — a defensible "why" behind every flag.
- Continuous portfolio monitoring: DSCR drift, refinance cliffs, insurance volatility, concentration risk.
- Bias detection on analyst-smoothed assumptions before they reach the committee.
The Gatekeeper and the mirror.
"We're drowning in broker blasts, and when we find a deal we like, we need to know whether a lender will."
- Automated "Buy Box" filter on inbound deals — Red, Yellow, Green in under a minute.
- Pre-lender stress testing: see the breakpoint before your underwriter does.
- Institutional memory that survives analyst turnover — every deal, every lesson, retained.
- Sponsor scorecard visibility: understand how your track record reads to the lenders across the table.
The velocity layer.
"The faster we get a credible term sheet in front of the borrower, the more deals we win."
- Intake-to-model-loaded in minutes, not days — no more round-trip to offshore data teams.
- First-draft lender packages assembled from the deal file: comps, maps, narrative, compliance checks.
- Deterministic what-if scenarios run live on the analyst's own model, with source citations.
- Shared tripwire library: agency rules and lender thresholds codified, not re-remembered each deal.
Three layers. One infrastructure.
StrixRE is engineered sequentially to evolve from a utility your team uses into infrastructure your firm depends on. Each layer adds governance weight; each layer makes the platform harder to remove.
Rapid Deal Intelligence
Ingest unstructured deal files — OMs, rent rolls, T-12s, sponsor proformas. Validate assumptions against live market data. Run multi-factor stress tests. Return a defensible IC-ready risk snapshot in under fifteen minutes. Deal triage compresses from weeks to minutes.
Credit Committee Challenger
Policy threshold mapping against each firm's specific Credit Box. Automatic exception logging. "Likely IC objection" framing before the meeting happens. Explainable reasoning logs that survive regulator and LP scrutiny. StrixRE stops being an assistant and becomes a governance partner.
Portfolio Risk Radar
DSCR drift monitoring. Refinance cliff modeling. Insurance volatility alerts. Concentration risk mapping. StrixRE becomes the institutional system of record, monitoring portfolio health continuously — not just at origination, but at every moment in the book's life.
Three architectural commitments.
StrixRE is built for institutions whose margin of error on a deal is measured in basis points, not user-experience refinement cycles. Three commitments are non-negotiable.
The FICO score for CRE sponsors.
After three to five years of deal ingestion, StrixRE builds something no new entrant can replicate: a longitudinal record of how every sponsor's actual performance compares to the story they told at origination.
What the sponsor said. What actually happened.
Every deal StrixRE processes contributes to a proprietary longitudinal dataset — one that compounds with every closing, every rent roll refresh, every quarterly operating statement.
Over time, the scorecard becomes the institutional memory that no analyst turnover can erase and no competitor can catch up to. It is the moat.
Built by practitioners. Not technologists looking for a market.
StrixRE is a product of REIT 3.0 Technologies, Inc., a Delaware C-Corp headquartered in Honolulu, Hawaii.
We are a small team of capital-markets practitioners and senior AI engineers. Our founder has thirty-six years in real estate development, construction, and capital markets — most of it spent reading the same kinds of documents StrixRE now reads in seconds. Our engineering bench has decades of combined experience building secure AI and data systems for financial institutions and regulated industries.
StrixRE is one of three vertical AI platforms we're building, each applying the same agentic intelligence architecture to a different regulated domain.
Platform portfolio
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StrixRE™Credit Intelligence Infrastructure for CRE lenders, borrowers, and capital markets brokers.
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Limited pilot access for the 2026 cohort.
We're working with a small number of institutional partners in our first deployment cohort — lenders, sponsors, and capital markets teams who want to shape the platform that will eventually carry their book.
Request pilot access