MultiScreen
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Product

MultiScreen means you're only a few clicks from IC approval

MultiScreen is a focused workflow: a broker's OM in, a committee-ready memo and LOI out.

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01

Import the deal

Drop in an OM, T12, or rent roll and AI extracts the unit mix, in-place and market rents, expenses, and price straight into the model, or start from scratch. Review the flagged fields and you're underwriting in seconds.

  • ✓AI import from OM / T12 / rent roll
  • ✓Editable unit-mix rent roll
  • ✓Sensible defaults, override anything
02

Underwrite in minutes

Every keystroke re-runs a calibrated institutional model server-side: levered & unlevered IRR, equity multiple, LP returns, cash-on-cash, DSCR, debt yield, and yield-on-cost. Financing prices off current market rates, and your rent & sale comps sit behind the assumptions as evidence.

  • ✓Current market rates + rent & sale comps
  • ✓Institutional waterfall with GP promote
  • ✓Hold-period cash flow & distributions
03

Stress-test and score

One click recomputes the whole model under Base, Upside, and Downside, side by side. The Break-Even panel shows exactly how far the market can move against you before capital is impaired. The Hold Period Optimizer finds the exit window that actually maximizes the return, Profit Attribution splits operations from the sale, and MultiScore grades it 0 to 100. You answer "what if we're wrong" before the committee asks.

  • ✓Base / Upside / Downside in one click
  • ✓Break-evens, max-bid solver & sensitivity
  • ✓Hold Period Optimizer + 0 to 100 MultiScore
04

Generate the documents

Turn the deal into an AI-drafted IC memo with severity-tagged risks, a one-click LOI, a Max Bid Sheet with your walk-away price for best-and-final, and an LP Teaser on your own letterhead. Every report grades its own data confidence and builds a due-diligence checklist from the deal's numbers. Then download a clean values-only Excel and an 11-page institutional PDF, or copy a paste-ready summary for email.

  • ✓AI IC memo + one-click LOI
  • ✓Max Bid Sheet & LP Teaser
  • ✓Excel, 11-page PDF & My Deals pipeline
MultiScreen in your AI assistant

Point your AI at your pipeline

Add MultiScreen as a custom connector in Claude, ChatGPT, Perplexity, or Grok, and your saved deals become something you can just ask questions of. Quick-screen a new deal, goal-seek a price, compare deals, or rank markets without leaving the chat. Pull a teaser or lender package into Gamma and Canva, or hand the agent an OM and it lands as a review-ready draft. When it's time for the full model, every answer links back into the app.

Works with any MCP-compatible agent. Pro feature, one-step sign-in, no keys to manage.

Which of my screening deals clear a 15% levered IRR?
Two of six: Sagebrush Flats (16.4% IRR, MultiScore 78) and Crestline Court (15.2% IRR, MultiScore 71). Crestline's year-one DSCR is 1.18. Want the break-evens?
Your pipeline, your numbers. Just ask in plain English
Your pipeline

Interact with your saved deals in plain English. Ask what clears a hurdle, what's gone stale, or how two pursuits stack up, and get answers off your real numbers instead of a guess.

For example

“What's still sitting in screening that I haven't touched in three weeks?”

Run the numbers

Screen a new deal, score it, solve for a price, or fire a scenario without leaving the chat window. When it's time for the full model, every answer links straight back into the app.

For example

“What's the most I can pay for this and still hit a 17% IRR?”

Markets & benchmark

Put a deal in context. Rank the markets you're hunting in, and see how a pursuit compares against everything else moving through your pipeline.

For example

“How does this deal's score compare to the rest of my book?”

Manage from chat

Keep the pipeline moving without opening the app: move a deal's stage, jot a note, set the callback, watch a market. Small, reversible updates; your underwriting numbers never change from chat.

For example

“Mark Maple Court passed and note that the seller wouldn't budge below $18M.”

Every tool is available the moment you connect. Ask in plain English, the agent picks the right one.

Why it gets better

The tool is worth more on your hundredth deal than your first

Most underwriting tools are the same on day 300 as they were on day one. MultiScreen compounds, because it learns from the book you build inside it.

Your book becomes the benchmark
Underwriting checks measure each new deal against the deals you've actually closed. The standard is your track record, not a generic rule of thumb.
The comp work stops repeating
Every rent comp you gather stays searchable across your whole pipeline. The tenth deal in a submarket starts where the ninth finished.
Your patterns become visible
Which brokers convert, which sourcing channels close, which deal profiles score well for you. Answers that only exist once the history is yours.
Everything inside

The full feature set, Starter to Pro

Here's every capability behind the workflow, so you can judge whether it's deep enough for your committee.

Starter includes the full modeling engine. Pro adds AI drafting, live market data, the Markets module, and team tools. See the full plan comparison.

Returns engine

✓
Calibrated returns model
An institutional-grade model, calibrated to match the underwriting results a committee expects.
✓
Full return suite
Levered & unlevered IRR, equity multiple, LP returns, cash-on-cash.
✓
Credit & yield metrics
DSCR, debt yield, LTV/LTC, going-in cap, trended & untrended yield-on-cost.
✓
Editable rent roll
Unit mix with in-place, market, and proforma rents; mark-to-market on turnover.
✓
Live recompute
Every assumption re-runs the model instantly, server-side.

AI & live data

✓
AI deal import
Drop in an OM, T12, or rent roll and AI fills the model: unit mix, rents, expenses, and price.
✓
Live market rates
Price your loan off the current rate environment plus your spread, straight into financing. Every deal is underwritten to today's market, not last quarter's.
✓
Rent & sale comps
Attach comparable rents and sales as exhibits that back your market rents and exit.
✓
AI comp discovery
One click finds nearby comparable properties. Every rent is traceable to a verifiable source and linked, so the survey holds up in diligence.
✓
Floorplan rent survey
Subject versus comps by unit type, 1BRs against 1BRs, so a blended average can't hide one indefensible premium.
✓
Independent rent context
An outside rent benchmark for the deal's submarket renders beside your comps, a built-in sanity band on every survey.

Pro tools

✓
Max-bid price solver
Solve for the highest price that still clears your target IRR or equity multiple.
✓
Sensitivity grids
Levered IRR and equity multiple across exit cap × rent growth, heat-shaded.
✓
CapEx + bridge financing
Model the renovation budget against a bridge facility with future-funding draws, the way the capital actually gets deployed.
✓
Hold-period tables
Annual cash flow, distributions, and per-year yields across the hold.
✓
Template previews
Hover any assumption template to see its strategy, key assumptions, and exactly which of your inputs it would change.
✓
Goal Seek any assumption
Solve backward for the exit cap, rent growth, or vacancy that hits your target return, not just the price.
✓
Debt sizer
A two-way DSCR and LTV solver: type a target DSCR and get the loan and LTV live on every keystroke, then apply it to the model.
✓
Floating-rate bridge + rate caps
Bridge debt service computes month by month against the forward curve, with cap strike, premium, and term modeled like the real thing.
✓
Property tax reassessment
Model the buyer's post-sale reassessment so taxes track your price automatically, instead of underwriting the seller's T12 line.
✓
Compare financing
Run competing lender term sheets through the same deal side by side: proceeds, DSCR, IRR, and breakeven per quote, best value highlighted. Then apply the winner in one click.
✓
Market-informed defaults
The deal's own market proposes its rent growth, grounded in that market's actual recent and long-run performance. One click to apply, never auto-filled.
✓
Undo, redo & command palette
⌘Z through your assumption changes and ⌘K to jump to any tile or tool. The model finally edits like a document.

Institutional analytics

✓
Institutional equity waterfall
Multi-tier hurdles on IRR or equity multiple, preferred return, GP catch-up, or straight splits, with GP IRR and promote reporting. Model the exact structure in your JV agreement, and see what the sponsor actually earns.
✓
Scenario toggle
One click recomputes the entire model under Base, Upside, and Downside, with a comparison strip. Answer "what if we're wrong" before the committee asks.
✓
Break-Even & Downside panel
Break-even exit cap with cushion, break-even occupancy, revenue decline tolerance, and minimum DSCR. Know exactly how far the market can move against you before capital is impaired.
✓
Hold Period Optimizer
Levered IRR, multiple, and profit at every realistic exit year, with the optimal hold identified. Pick the exit window with evidence, not instinct.
✓
Profit Attribution
See how much of the return comes from operations versus the sale, so you know how durable the return really is.
✓
Sponsor Economics
Fees, promote above pro-rata, co-invest MOIC, and total GP profit in one panel. What the deal pays you, not just the LP.
✓
Underwriting checks
An automated credit-committee review that flags the assumptions a reviewer will challenge, before they do. Including checks that benchmark each deal against your own closed book, so the standard is your track record, not a generic rule of thumb.
✓
AI Deal Critique
A committee-style second opinion on the whole underwriting: what holds up, where a reviewer will push, and the questions to have answers for. Reads only your inputs and outputs, never outside data.

MultiScore

✓
0 to 100 deal score
A proprietary composite, calibrated so the same deal earns the same score every time.
✓
Return & risk sub-scores
See how much of the score is return versus risk-adjusted quality.
✓
Risk flags
Automatic flags for thin spreads, heavy plans with low coverage, and more.
✓
Plain-English read
An auto-narrative of what's driving, and dragging, the score.

Document generation

✓
AI IC-memo generator
Turn an underwritten deal into a committee-ready memo with severity-tagged risk flags, then edit every section in your own voice.
✓
One-click LOI
Generate a non-binding letter of intent on your own letterhead from a saved buyer profile.
✓
Max Bid Sheet
A one-page PDF that solves the purchase price hitting each target IRR, with your walk-away number. Walk into best-and-final knowing your ceiling.
✓
LP Teaser
A one-page investor teaser with auto-written deal commentary, returns, and downside protection, on your own letterhead. Raise equity with a document, not a spreadsheet screenshot.
✓
Copy for email
A paste-ready plain-text deal summary. Send the deal to a partner in ten seconds.
✓
Data Confidence & DD priorities
Every PDF and IC memo grades its own input completeness (HIGH / MEDIUM / LOW) and auto-builds a severity-tagged due-diligence checklist from the deal's own numbers. Outputs that tell you how much to trust them, and what to verify next.
✓
Structured deal package
Export the whole deal as Markdown or JSON to drop into your own LLM, template, or workflow.
✓
Lender Package
The loan-request PDF: requested terms, DSCR, debt yield, breakevens, coverage by year, sources & uses, and take-out analysis. What a lender actually asks for, ready to send.

Pipeline & workspace

✓
My Deals pipeline
Save, reopen, and track every deal through screening, pursuing, LOI, passed, closed, and dead. Your whole funnel in one board.
✓
Compare deals side by side
Put saved deals against each other on returns, risk, and MultiScore in one view. Built for the “which of these three do we chase” call.
✓
Pipeline analytics
Funnel, cadence with cohort LOI conversion, time-in-stage aging, pass-reason rollups, a price-vs-quality scatter, and decision velocity, all exportable to PDF and Excel.
✓
Broker relationships
Every broker ranked by deals shown, LOIs, closed, and win rate, with follow-up flags on active deals past their date or untouched 21+ days.
✓
Sourcing channels
Tag each pursuit Marketed, Off-Market, or Unsolicited, then see how each channel actually converts to LOIs and closings.
✓
Score Explorer
Slice your underwriting history by market, vintage, size, price, broker, or sourcing, and see which deal profiles score well for you.
✓
Due-diligence tracker
A per-deal DD checklist, auto-built from that deal's own numbers and severity-tagged, that you work down as items clear.
✓
Leaderboard
See how a deal's MultiScore stacks up against the rest of what's being screened.
✓
Deal version control
Save-as-version snapshots per deal: track LOI rounds and counters on one pipeline row, load any round back in two clicks, and compare versions side by side.
✓
Comp library
Every rent comp from every saved deal in one searchable, filterable table. Reuse the survey instead of rebuilding it.

MultiScreen in your AI assistant

✓
Connect in one step
In Claude, ChatGPT, or Perplexity, add MultiScreen as a custom connector and sign in. No key to copy, no config. Grok and other MCP clients connect with a personal access key. Your pipeline becomes something you can just ask questions of.
✓
Ask across your pipeline
“Which screening deals clear a 15% IRR?” The agent reads your real saved deals and answers from them, not from guesses.
✓
Screen & score in chat
Run a quick screen, score a deal, or fire scenarios without leaving the chat window. Deep work links back into the app.
✓
Pull deliverables into Gamma & Canva
Pull any deal's teaser, max-bid sheet, or lender package as text and hand it straight to Gamma or Canva to build a deck.
✓
Push a document to a draft
Give the agent an OM, T12, or rent roll and it lands in your pipeline as a review-ready draft. Connected Storage, from the chat.

Outputs

✓
Institutional PDF report
Starter exports a clean, no-watermark summary; Pro adds the full 11-page report: cover, exec summary, rent roll, returns, sensitivity, visuals, and MultiScore.
✓
Excel export
A clean, values-only workbook of the underwritten deal, safe to share.

Your numbers never leave the server.

Every calculation runs server-side, the model logic never ships to the browser, and the Excel export is values-only. You get the result, not a model someone can walk off with.

Learn about MultiScore →

Be first in when MultiScreen launches.

Join the waitlist for first access at launch, plus Founding Member pricing: 25% off Pro for 12 months.

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