
The Operating System for $4.8 Trillion in CRE Debt
Commercial Real Estate lending is massive, fragmented, and ripe for disruption
This year, $957 billion in commercial real estate loans need refinancing. Yet the process hasn't changed since the 1980s. Here's how it works today:
Understanding the massive ecosystem that moves nearly $1 trillion annually
Property Owners & Developers
Borrowers are the property owners and developers who need to refinance or purchase a property.
They own an estimated 5 million+ apartment buildings (5+ units) across the U.S.
96% have active debt that needs constant refinancing.
Their biggest challenge: finding the right lender among 3,000+ options - 0.25% rate difference on a $50M loan costs $125,000/year.
Loan Brokers & Originators
Advisors are licensed professionals who connect borrowers with lenders.
120,000 CRE brokers already have the license and the relationships to qualify as advisors.
Most of these CRE brokers don't even know that they can be placing debt.
Even the ones that do, still lack the tools required to do so efficiently.
Banks, Funds & Agencies
Lenders are the institutions that provide the capital to borrowers. eg Wells Fargo, JPMorgan, etc.
They really want to deploy capital, but are limited by the deals that the advisors are bringing to them.
3,000+ lenders, each has different criteria, rates, and appetites-impossible to track manually.
With no standardization, it's impossible to efficiently compare deals from different brokers.
The broken 6 month journey that costs borrowers millions and kills half of all deals
Week 1
A property owner needs to refinance or purchase, so they contact their trusted broker to find a lender.
No visibility into which of 3,000 lenders want their deal
Weeks 1-2
Broker manually calls their limited network - maybe 5-10 lenders they know personally.
Missing 2,990+ other lenders who might offer better terms
Weeks 2-8
Creating the loan package (OM) takes 6–8 weeks of analyst time. Every update means starting over.
PDFs, spreadsheets, emails - no version control, no live updates
Months 3-6
Lender outreach, underwriting, and revisions stretch the process to ~6 months overall.
Half die due to poor matching; surviving deals often accept worse terms
What industry insiders know but won't admit publicly
CAC, Payback, and LTV assumptions grounded in CRE refinance cycles
AI-DRIVEN
MANUAL
FRAGMENTED
UNIFIED











Traditional Brokers
Competitors do lending OR software. We're building the operating system for all CRE capital markets.
$6B+ in combined transaction volume and 20+ years of expertise in real estate, lending, and technology.
Co-Founder & CEO
Current Team size: 10
Roles filled: Chief Market Advisor, Head of Growth, Head of Communications, VP Communications, VP Engineering, Head of Investor Relations
$3.5M Pre-Seed Round
To support the technical team to build out very good existing proof of concept models into production grade products.
Setting up the marketing and communication infrastructure to onboard most of the customers onto the platform.
For information about every lender in the US, every borrower in the US, and every building in the US. This data will be used to build out our communication and customer targeting mechanisms.
Funds allocated to building a dedicated sales team and customer success function to ensure the success and expansion of initial customers. This investment enables scalable customer acquisition and retention.
Ensuring we operate in a compliance-friendly manner from the very beginning and minimizing OpEx costs for the business.
Reserved for unexpected needs, market opportunities, and to provide flexibility for rapid market changes.
Month 1
Months 2-4
Months 5-12
Months 13-18
| Timeline | Customer Goal | Deal Volume Goal |
|---|---|---|
| Month 1 | 3 customers processing | $150M+ volume |
| Month 4 | 15 active customers | $750M+ volume |
| Month 12 | 30+ active customers | $1.5B+ volume |
| Month 18 | 50+ customers | $2.5B+ volume |
Schedule a call to see how we're already processing real deals with committed lenders and borrowers.