CASE STUDY · AI PLATFORM · IN PRODUCTION

XCreos: AI underwriting,
traced to the source.

A platform that reads deal documents, underwrites with every number traceable to its source, and runs market research with AI agents. Designed and built end to end by Megsoft.

Industry
Commercial real estate
Scope
Full platform: design → build → production
Capabilities
Document AI · Underwriting engine · AI agents
Status
In production
app.xcreos.io / deals / maple-court / underwriting
XCreos underwriting screen with source-traced figures
FIG. 01 · UNDERWRITING VIEW · SOURCE-TRACED

The problem

Multifamily real estate investment runs on documents: offering memoranda, rent rolls, twelve months of operating statements, market reports. Turning a deal's documents into a defensible underwriting model is days of skilled work: copying numbers by hand, reconciling conflicting figures, and rebuilding the same spreadsheet logic deal after deal. Speed matters (good deals go fast), but a wrong number costs millions.

The interesting engineering problem isn't extracting data with AI. It's doing so in a way an investment committee can trust.

THE DESIGN RULE

No number appears anywhere in the platform without a traceable path back to its source document. AI does the reading; people stay able to check its work.

WHAT THE PLATFORM DOES

Reads the documents for you

Drop in the deal's paperwork. The platform reads every line, so the work starts at the analysis instead of the typing.

PDF readSPREADSHEET row 47SCAN p.2COUNTY RECORDS 2026

Every number shows its source

Click any figure and see exactly which document, page, and line it came from. Numbers you can defend in any meeting.

$441,974
ANNUAL INCOME · TRACED TO PAGE 2, LINE 14

The full picture, one screen

What the property is worth, what it could earn, and how the deal is financed, side by side.

Market data built in

What similar properties rent and sell for, right inside the deal. No extra tabs, no separate reports.

MARKET RANGE · 5.20% TO 5.80%

Every version, compared

Each change is saved. See exactly what moved the numbers between one version and the next, and why.

+0.8% projected return

Deals and people, one board

Every deal, every stage, and every contact involved on a single board. Not inboxes, not sticky notes.

NEWANALYSISOFFERCLOSED

Performance, tracked monthly

See how every property is doing, month over month, without chasing anyone for reports.

Professional market benchmarks

Institutional-grade market data included, without the expensive subscription.

AUSTIN · CLASS B · 4.9% TO 6.4%

Plan the exit from day one

Model refinancing or selling the property before you need to. Know the way out before you're in.

REFINANCESELL

Private by default

Your data stays yours. It is never used to train models or to feed anyone else's analysis.

How it's engineered

  • Provenance-first data model. Every fact carries its origin: which document, which page, which extraction run. Conflicting sources surface as conflicts instead of silently averaging.
  • AI where it pays, rules where it counts. Language models handle reading and research; deterministic validation logic guards the numbers that drive decisions.
  • Agent workflows with checkpoints. Multi-step research runs are decomposed, logged, and reviewable, not a black box that returns an answer.

The outcome

Underwriting that took days of manual document work now starts from a structured, source-linked model in minutes, and the platform is in production, in daily use by real estate operators. It is the clearest expression of how Megsoft builds AI systems: useful enough to change how the work gets done, and disciplined enough to be audited.

This one we can show you live. The fastest way to judge our work is to watch the platform handle a real deal document in front of you.

Want a platform like this
in your industry?

Start with an Assessment: two to four weeks to a plan you can execute.

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