Baseline DCF

Product overview

What can Baseline DCF do for you?

From documents to a finished, auditable Excel model. No spreadsheet surgery, no enterprise rollout.

What you wished Excel could do, but can’t. What ARGUS should do, but doesn’t.
Baseline DCF does it.

Baseline DCF runs its own calculation engine and hands you a structured, auditable workbook, so the math holds up and the output is yours to send anywhere.

Try it on your next project

Full functionality, no card required. Install sign up and install in less than 5 minutes.

Start a free trial

Professional-grade CRE modeling, priced for the practitioner

No enterprise license, no procurement cycle. Just download, install, and model.

See pricing

A modeling engine built for how CRE deals actually work

Baseline DCF covers every major asset class, produces auditable models, and outputs into Excel. No custom spreadsheet maintenance. No black box. No enterprise pricing.

Most DCF tools were built for generic real estate or adapted from financial modeling platforms that were never designed for CRE. Baseline DCF was built from the ground up for commercial real estate underwriting, with the calculation logic, asset class depth, and output structure that institutional-grade work requires.

The whole workflow, start to finish. No manual re-entry, no spreadsheet surgery, no new interface to learn.

Build and calculate

Pull structured data from your documents (rent roll, lease abstracts, OMs, T-12) with your AI, upload it directly into Baseline DCF, and build any CRE asset class. Run your calcs (IRR, NPV, DSCR, cash-on-cash, etc.) with every value labeled for Excel output.

Output to Excel

Your model outputs to a standard Excel workbook with structured metadata attached, so it flows into your usual workflows and is AI-ready for advanced analysis and reporting.

Ask anything. Audit everything

Prompt your AI against your model to drill down, compare, and ask what if and why, then package results into reports, memos, and dashboards. Metadata traces every value back to its inputs and assumptions.