The AI System for Institutional Real Estate
Reads the deal, builds the model, writes the memo,
end to end in your deal room
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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. Forward the broker's email to chat@apers.app and UDPE reads the attachments the same way, no upload needed.
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 follows your firm's conventions from the templates and skills you give it.
More deals. Same team. Sharper judgment. The modeling effort stays flat. The depth of analysis compounds.