CRE10x installs an AI-ready file architecture and an AI-maintained second brain in your existing OneDrive or Google Drive. Every loan and lease inventoried from your source documents and rebuilt on a schedule, so the 12-month maturity question takes 10 seconds instead of an afternoon. Your files never move.
Ask which of your loans mature in the next 12 months and the honest answer is an afternoon. The loan docs live in OneDrive. The terms live in a spreadsheet. And the spreadsheet's logic lives in the head of an analyst who left in March. That is the normal state of a 15-asset portfolio.
The fix is not another platform. It is making your source documents the system of record. AI reads them, writes a compact inventory of every loan and lease, and rebuilds it every Monday morning. Anyone on the team can ask it anything. Nobody's departure takes the answers with them.
One fixed-fee install. Nothing migrates, nothing gets rebuilt. Your team files PDFs into folders, same as always; the system does the rest.
Discovery catches everything that kills a deployment before you sign. Then the install runs on a fixed clock, and the acceptance test decides when we are done.
Before we call an install done, you ask the system five questions about your own portfolio. Which loans mature in the next 12 months. What is the balance on the bridge loan. Which leases expire this quarter. Real questions, picked by you. Every answer gets checked against the source document. One wrong answer and we keep working. It is in the SOW.
Scans are the honest limitation of AI document parsing. Anything the scanners cannot read with confidence goes to a needs-review queue instead of silently producing a wrong number. A person clears the queue, and the install is not accepted until it sits under 10% of files. The real risk with AI in asset management is a wrong answer delivered confidently, so we designed for the failure mode first.
Because you would want it too. One fixed fee for the install, then optional sprints and support on your timeline.
For portfolios up to about 10 assets. Larger portfolios scale per asset, scoped from your document inventory before you sign anything.
Optional two-week sprints add one capability at a time from a catalog of 50 builds, scoped per engagement. Ongoing AI support runs from $1,500 a month.
Claude runs $20 per seat per month billed annually, minimum 2 seats. HubSpot is free under 2 users. You already pay for Office or Google. A 2-person shop runs the whole stack for about $50 a month.
The math: if answering one loan-maturity question costs an analyst an afternoon, and it happens twice a month, the install pays for itself before the year is out. Most clients find the mispriced renewal or the forgotten covenant a lot sooner.
The second brain answers from documents. At some point you ask for what documents cannot hold. The install is designed so that upgrade is a connector, not a migration.
Today's occupancy, this week's AR, open work orders. CREx OS connects live feeds from Yardi, AppFolio, MRI, or Entrata into the same assistant your team already uses. Same questions, same interface. The answers just get fresher.
Inbound broker emails and OMs triaged from your inbox into a live pipeline, attributed to the broker book from your install. Underwriting runs in your own Excel models, populated per deal from the parsed OM, rent roll, and T-12.
The fastest way to evaluate CRE10x is not another page. Send us two or three loan summaries and a rent roll, redact whatever you like. On a 20-minute call we run them through the system live. You watch the inventory build itself, then ask it whatever you want. If it is not obviously useful in those 20 minutes, we shake hands and you keep the parsed output.
First cohort is 5 firms, delivered back to back. Prefer email? contact@crexsoftware.com