Underwrite more deals.
With the team you have.
The AI system built for institutional commercial real estate.
Institutional-grade models. Ready when you are.
A growing library of production-grade financial models for every asset class, deal structure, and capital stack configuration. Each model is built by practitioners who've closed real deals — not generated from templates.
Use them out of the box or as the starting point for XL-2. Either way, you save hours of setup and get institutional rigor from deal one.
Model the way you think.
Upload an offering memo or describe a deal in plain language. Adjust assumptions, restructure waterfalls, sensitize cap rates — by talking, not by tweaking cells. XL-2 rebuilds the formulas, tabs, and traces underneath.
Your judgment drives the model. XL-2 handles the spreadsheet work.
How XL-2 works →Every deal doc, read and reconciled.
UDPE reads every file in your data room — offering memos, rent rolls, T-12s, appraisals, ARGUS exports, tax returns, broker packages — and turns them into structured data the model can use.
It handles the hard cases: scanned OMs with handwritten annotations, watermarked broker packages, faded appraisals, ARGUS files with broken cross-references. And it reconciles conflicts across documents — when the OM says 240 units but the rent roll lists 237, UDPE flags it before it reaches your model.
The system gets sharper
with every deal you run.
A chatbot answers one question at a time. A copilot fills in cells you point at. Apers is a system that already knows how institutional real estate works — and learns the conventions of your firm as it runs.
More deals. Same team. Sharper judgment. The modeling effort stays flat. The depth of analysis compounds.