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A broker checking a listing on his phone outside an industrial distribution building at dawn.
Commercial real estate operations

Your listings run on a spreadsheet and a group text.

Tophat is the operating system for a commercial real estate desk. Every property, every lease, every proposal and every deadline in one place, with an offering memorandum you can generate in the time it takes to pour a coffee.

A product of 3 Point Forward. Built for brokerages of five to forty people. Hosted, backed up nightly, and your data stays yours. Already a customer? Sign in.

The dashboard

This is the screen your desk opens every morning.

Not a mockup. This is the real interface, with the real numbers from a demonstration portfolio of eleven buildings.

Every figure carries a trace. Click any number and Tophat shows the arithmetic that produced it, including the values before rounding.

4 min

To generate a full offering memorandum from a property record

3

Valuation methods, each with its own confidence and audit trail

0

Invented numbers. A missing input is reported, never defaulted

Nightly

Backups, each one restore-tested rather than assumed

In the field

Built by watching how a brokerage actually works.

Not from a product requirements document. From sitting with the people who chase the signature and finding out where the day goes.

Workflow A marketing coordinator working across two monitors, a listing workflow on the left and an offering memorandum in progress on the right.

One request, five steps, nobody chasing anybody

A broker raises a request. Tophat assembles the checklist, assigns each step, sets the dates and tells the right person when their part comes up. The history is on the record, so nobody has to reconstruct who did what from a mail thread.

Documents A printed offering memorandum with tabbed sections on a desk beside a laptop showing the same property record.

Offering memoranda, BOVs and pitch decks

Assembled from the property record, so the rent roll in the document is the rent roll in the system. When a figure cannot be supported, the document says so instead of guessing.

Client portal A client checking the progress of their listing request on a phone, showing four stages with the second one in progress.

Your client stops calling to ask where it is

Every request has a tracking page the owner can open on their phone. They see the stage, who has it and what happens next, and it updates itself.

Pipeline Four colleagues in a conference room reviewing a pipeline board of listings on a wall display.

Monday morning takes fifteen minutes

The board is the meeting. Every listing on one screen with its stage, its owner and what is overdue, so the conversation is about the two deals that need a decision.

Any asset class A newly built multi-tenant retail strip centre with a pylon sign and parking.

Industrial, retail, office, multifamily, land

The vocabulary is yours. Ask how many big box warehouses you own and Tophat counts them, because it learned what your desk calls a big box. If a phrase is not in the vocabulary it says so rather than guessing.

Everything in the box

The whole desk, not a feature.

Property and lease records

Rent roll, options, percentage rent, expiry exposure and weighted average lease term, all computed rather than typed.

Valuations that hold up

Direct capitalisation, sales comparison and gross rent multiplier, each with its own confidence and a trace you can hand to a client who disagrees.

Document generation

BOV, pitch deck and offering memorandum, assembled from the record with every figure sourced.

Search that reads the documents

Ask about parking at a building and get the actual clause, with a citation back to the exact page it came from.

Import what you already have

Properties, rent rolls, comparables, clients and contacts from a spreadsheet. Bad rows are rejected by line and reason; the good ones still go in.

Notifications that reach you

On the desk and on the phone, including a delivery record so a notice that failed to send says so.

An API and webhooks

Connect the property applications you already run, and push events out as they happen.

Ready for AI agents

An MCP endpoint, so you can ask for a BOV from ChatGPT or Claude and have it assembled from your real record instead of invented.

Your workspace is yours

Every firm is isolated at the database level, and you can export the whole thing to JSON or CSV whenever you like.

Pricing

One number a year, and it includes the hosting.

No licence to buy, no server to run and nobody to hire. Annual agreement, billed monthly.

Desk

$395 / month

Up to 5 people. A small shop or a single team.

  • Properties, clients and deals
  • Listing workflow and checklists
  • BOV and pitch deck generation
  • Client tracking pages
  • Spreadsheet import
Talk to us
Most firms

Firm

$895 / month

Up to 15 people. Everything Tophat does.

  • Everything in Desk
  • Lease intelligence and expiry exposure
  • Offering memoranda
  • Document search with citations
  • API, webhooks and the MCP endpoint
  • Push notifications
Start a workspace

Principal

From $1,850 / mo

Up to 40 people, on your own instance.

  • Everything in Firm
  • A dedicated instance
  • Your own document templates
  • Priority support
  • Onboarding and data migration
Talk to us

Extra seats are $49 a month. Onboarding is $3,500, or $7,500 when we are migrating your data out of another system. That covers the setup, your templates and training your team.

Next step

Bring one building and we will show you the whole thing.

Send us a rent roll and an address. We will load it into a workspace, generate the offering memorandum in front of you and you can decide whether it beats what you do now. Half an hour, and you keep the document either way.