For corporate real-estate teams
Your site pipeline and lease decisions, on AI
For chains that open, renew and close locations: your site files, leases and committee templates, working together with 2,100+ connected sources inside your setup. We start with one of your processes, live on your sites 72 hours after access.
- Restaurant chains
- Retailers
- Auto dealer groups
- Clinics
- Bank branch networks
Your stack, any stack. Our engine in the middle. Answers land where you work.
Everything you have now stays yours. It runs through the Realiste engine for real estate, gets enriched with our sources, and the conclusions come back to wherever you read them. Set up once, it runs on its own: no moving files by hand, no clicking around.
What you already have
- Your inbox
- Your data rooms
- Your CRM
- Your Excel models
- The territory you set
The Realiste engine for real estate
- Reads it
- Enriches it with 2,100+ connected sources, 1,881 already returning data
- Draws the conclusions
Lands where you like
- Telegram
- Your CRM or model
Your list, enriched
Your store or site list comes back with landlord, last sale and the landlord’s loan maturity where we hold it, matched by our team at the start. What we could not match is named, not guessed.
- Yours alone: never shown to another client
- NDA first
- Your sign-off on everything that goes out
Your AI assistant can ask the engine directly, too.
Your workflows, on our engine
Each one starts where your work already starts and ends where you read it. Two run for every team: the inbox and the radar. The others are yours.
A broker sends a candidate site
- Trigger
- A site flyer or an address arrives in your site request inbox, and it goes on to the engine by itself.
- Engine
- Adds parcel and lot size, owner and year bought, zoning, the traffic count on the nearest road and sales around it.
- Lands
- Back in the same thread: your site-screen row and the committee page, every input with its source and date.
The radar on your target metros
- Trigger
- In your target metros: land just bought, a new permit, a long hold, an anchor lease ending, a loan coming due.
- Engine
- Adds the owner behind the LLC and when they bought.
- Lands
- A weekly digest by e-mail, Telegram or WhatsApp. We find the owner; your team makes the call.
Renewals coming due
- Trigger
- A lease option date comes up (a pilot on ten leases, text PDFs).
- Engine
- Reads the lease terms with their pages and adds market rent from leases nearby, where we hold them.
- Lands
- The landlord’s number answered with evidence, in your inbox before the notice date.
A location closes
- Trigger
- A store or branch is set to close.
- Engine
- Finds sales of similar buildings around it, compares keep, re-let, convert or rebuild against the zoning, and names owners who bought similar property nearby.
- Lands
- A disposition memo, or a deck for your broker, in your inbox.
More accurate, faster, lower cost per deal
More accurate
Every input in the committee package shows its source and date; a lease term with no page reference is shown as a gap, never guessed.
- Every input shows its source and date; every result shows its formula.
- What we could not find is named as missing, never filled in.
- The same comps request returns the same set. The same feasibility request returns the same study for 30 days.
Faster
Lease abstraction into one rent roll; a passport per candidate site in about 4 minutes.
| Property passport | about 4 minutes |
|---|---|
| Comps | about 20 minutes |
| Feasibility study | about 30 minutes |
| Up to 10 properties valued at once | about 30 minutes |
| Value opinion | about 40 minutes |
| Underwriting with its live Excel model | about 1 hour |
Lower cost per deal
- One request returns the finished package: the memo, the live Excel, and the deck on request.
- An underwriting carries about 1,000 data points, each marked as found with its source, computed by formula, or missing.
- Your analysts check and decide instead of collecting.
BOV at scale
Up to 100 addresses, priced in one go
Paste a list of up to 100 addresses and get one value range per property, each with its comparable sales and a confidence mark, as a table, a workbook and a deck. A list of ten comes back in about half an hour. The list size is set for each client, and we raise it for yours.
A first value read on up to 100 surplus properties in one go.
A value range with its evidence, not an appraisal. Realiste is not an appraiser.
Up to 100 rows, one per address, as a table, a workbook and a deck.
Your processes, on AI
We take one process your team runs today and run it inside your setup. Each one below starts from what already arrives and ends in the format you already use. Your team reviews and signs.
Site screening
- Comes in
- A trade area (a city, a county or an area drawn on the map) and your prototype: lot size, frontage, drive-thru, corridor.
- Comes back
- One row per site: parcel and lot size, owner and year bought, zoning and what it allows, the traffic count on the nearest road, recent sales around it. What is missing is named, not filled in.
- Template
- Your site-screen sheet, ranked by your own criteria.
- Replaces
- An analyst looking up every site by hand.
Committee package
- Comes in
- The short-listed site, the terms on the table and your committee template (Word or Excel).
- Comes back
- Your template filled: site and parcel facts, what the zoning allows, sales nearby, title, permit and lien flags, and the questions still open. Every input shows its source and date; every result its formula.
- Template
- Yours, section by section, in your committee’s order.
- Replaces
- Days of copy and paste per site.
Ground lease, build-to-suit or buy
- Comes in
- The site, your prototype and the terms offered: ground rent, build-to-suit rent and term, the asking price.
- Comes back
- One live Excel: what the zoning lets you build, rent for similar space nearby, land sales around it, and each path’s cost over the term at your own discount rate. Your committee picks the path.
- Template
- Your capital-request model, or a clean one if you have none.
- Replaces
- Three separate analyses that never use the same inputs.
Renewals and rent vs market (pilot)
- Comes in
- Ten lease PDFs whose options come up next (text PDFs; scanned pages are flagged, not read), and the landlord’s proposal.
- Comes back
- Each lease as 16 fields (rent, term, options, escalations and more), each with its page, in one sheet; market rent from leases nearby where we hold them.
- Template
- Your lease tracker’s columns.
- Replaces
- Re-reading a lease when the notice date is already close.
Surplus property
- Comes in
- The addresses of closed or closing locations, with size, and whether you own or lease each one.
- Comes back
- Sales of similar buildings around each, keep, re-let, convert or rebuild compared against what the zoning allows, and owners who recently bought similar property nearby.
- Template
- Your disposition memo, or a deck for your broker.
- Replaces
- Weeks of waiting for opinions before you know whether to sell, sublet or hold.
Owners of target parcels
- Comes in
- Your target metros and parcels.
- Comes back
- The owner behind the LLC where we find one, when they bought, a loan coming due where we hold one; and each week, land just bought, new permits, long holds and anchor leases ending.
- Template
- A sheet your team works from. We find the owner; your team makes the call.
- Replaces
- Tracking down owners one county site at a time.
The products behind it
Each process chains these products. On top of them sits one assistant and 330+ written workflows, 36 of them for corporate real-estate teams; we write yours.
| Product | You give | You get back |
|---|---|---|
| Scout | A trade area and your prototype | Candidate sites and buildings, ranked, with the owner of each |
| Property passport | An address | One page per site: parcel, owner, sales, permits, zoning and traffic, each dated |
| Feasibility | A parcel | What the zoning lets you build; keep, convert or rebuild for one you own |
| Market rent and comps | An address and the space | What similar space rents for and what similar property sold for |
| Due diligence | A data room, lease PDFs | Title, permit and lien flags with their pages; leases into one sheet as a pilot |
| Underwriting and Excel | Terms, your model | Buy the building you lease, or sell and lease back: the model; your own Excel changed by typing |
| Value opinion and BOV | A closing store or an owned branch | The value evidence for your CFO or your broker |
| Signals | Your target metros | What changed this week: land bought, permits, loans coming due, long holds |
Where each team starts
| Your team | Start with | Why there |
|---|---|---|
| Restaurant chains | Pad-site screening | Ranked pads with owner, zoning and traffic; the first pick in your committee format. |
| Retailers | Renewals and rent vs market, a pilot on ten leases | Options and rent steps sit in PDFs; the landlord’s number arrives before the evidence. |
| Auto dealer groups | Land for a new rooftop | Large parcels with owner, years held, zoning and land sales nearby. |
| Clinics | Vet a candidate clinic building | Title, permit and lien flags with the page behind each, and market rent for the space. |
| Bank branch networks | Branches you close or own | The sales evidence, the other uses and who might buy, branch by branch. |
One process, live on your sites in 72 hours
Counted from access to your stack, after the NDA, with your team, on live sites.
Day 1
Map
We sit with the person who does the work and write the process down: what comes in, what gets checked, your template, who signs.
From you: An hour with the process owner
Day 2
Build
Our team connects it to your stack (where the work arrives, your models, your CRM or warehouse) and to your template, then runs it on one live case.
From you: Your template and one live case
Day 3
Run and measure
Your team runs it on live cases. Together we time each one and check every figure against its source.
From you: Two or three more cases
Then
An annual agreement
The process keeps running and we tune it to your team. The next process is mapped, built and measured the same way.
From you: The next process you pick
Questions teams ask first
- Do we have to change how we work?
- No. Your stack stays yours. What arrives in your inbox, your data rooms and the territory you set runs through our engine, and the answers land where you work: e-mail, WhatsApp, Telegram or your CRM, as Excel, PowerPoint, PDF and Word. Nothing new to log into.
- What do you bring, and what do we keep?
- 2,100+ connected sources (parcels and owners of record, recorded sales and loans, permits, zoning and rents) and a property base of about 6 million properties. Your files serve your work, are never shown to another client and are not used to train models. An NDA comes before any access.
- Can it read all our leases today?
- We start with a pilot on ten leases: text PDFs, each term with the page it came from, a term with no page shown as a gap. Scanned pages are flagged, not read.
- How long until it runs on our own work?
- 72 hours from access, after the NDA. Day 1 we map the process with you, day 2 we build it into your setup and run one live case, day 3 your team runs it and we measure it together.