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The acquisition platform

Surface the asset.Trace the owner.Price the deal.

Two jobs under one name. We build both halves as one system, against your buy box and your model.

A narrow street between older stone commercial buildings opening onto a modern glass tower, under flat overcast light.
The market these systems are pointed at.Illustrative photography. No client asset is depicted.

Two halves, one system

Find it, then price it

Acquisition is two jobs, and firms usually buy them from two vendors who never speak. We build both as one system, so the deal that clears your box arrives in the model that prices it.

Off-market sourcing

Find the deal before it is a listing

Your buy box run against county records and state registries, with the title-holding entity traced to a person through public filings, as a queue your team logs into.

How the sourcing system works
Off-market intelligenceIllustrative workflow
WESTHEIMER ROADMEMORIALBAYOU GREENWAY010203
Your buy boxHouston, TX

Multifamily50–200 units

Ranked opportunitiesFit
Buy box → Owner intelligence → Ranked export

Underwriting

Underwrite from your own model

The deal room read and mapped into the workbook your firm already uses, from the first screen to the investment committee memo, with the source page attached to every number.

How the underwriting system works
From first screen to investment committeeIllustrative workflow
Source documents
OMT12Rent roll
Your Excel modelNorthgate / 01
ƒxAcquisition assumptions.xlsx
ABC
1Verified inputsValueSource
2Units130Rent roll
3Occupancy94.2%Rent roll
4Monthly rent / unit$1,850T12
5Purchase price$28.5MOM
6Loan to value65.0%Assumption
Every number linked to its source01 / 01

Northgate Apartments · Illustrative deal

Your assumptions. Your Excel model. Traceable inputs.

Ownership

Nothing here is rented

The system is deployed inside your account, so the question of what happens to your pipeline if you stop working with us has a boring answer.

Deployment · your account

Your cloud account · your billing · your region

  • Pipeline and scheduled runs
  • Every parcel, filing and document
  • Extractions and their source links
  • Your underwriting workbook

Leaves the box: Model API calls, provider of your choosing, swappable

No NextAutomation tenancy

What sits inside your boundary, and the one thing that leaves it.Deployment arrangement, not a data sample.

Capabilities

What the platform does

Sourcing intelligence

County records on a source-specific schedule, scored against your criteria.

Owner resolution

Entities traced to people through public filings, with the chain attached.

Underwriting models

Your workbook, fed from deal-room documents.

Document intelligence

Rent rolls, T12s and leases read into structured fields.

Evidence chain

Every figure walks back to a source document or a public filing.

Scheduled runs

The pipeline refreshes and surfaces only what moved.

How you start

Prove it on your own data first

01

Proof of concept

Two weeks on your buy box and one of your deals, for $3,000, credited toward the build.

02

Build

Scoped from what those two weeks found in your counties, not from a demo.

03

Operate

We keep the sources current as they change.

See what the two weeks include

Questions people actually ask

How do you find the owner behind an LLC?

Public-record entity resolution. We trace the title-holding entity through state business registries, assessor mailing addresses and recorded deeds until it reaches a named person, and we hand you the chain so you can walk it yourself. Registry data alone gets there 35 to 50% of the time, blended across a six-state footprint. The parcels that do not resolve are marked unresolved. Every contact traces back to a public filing: we do not buy owner details from people-search or credit-header vendors.

What happens to the model we already use?

No, and it would be a worse product if it did. Your model encodes how your firm decides, which is exactly the part you should not outsource. The system reads deal documents and puts the line items where your model expects them. It does the reading; your model does the deciding.

What happens when a county changes its website?

It breaks, we fix it, and the coverage read tells you it happened. County portals change on their own schedule and any vendor claiming otherwise has not run one for long. What matters is that a broken source shows up as a gap in the output rather than quietly returning fewer results.

Where does our data live?

Under your billing and inside your access controls. Deployment is agreed with you rather than fixed to a tenancy we operate, so the question of what happens to your pipeline if you stop working with us has a boring answer: nothing.

Can we use our own AI models?

Yes. The reasoning layer is a swappable component rather than a hard dependency, so you can point it at whichever provider your firm has already cleared, and change it later without rebuilding around the new one.

How is this different from a data subscription?

A subscription rents you a filtered view of somebody else's database and makes you go and look at it. This is a system you own that reads your sources, scores against your buy box, and comes to you when something moves. The difference shows up the first time you need a signal the subscription does not track.

What if a number looks wrong?

Click it. Every extracted figure keeps a link to the document and page it was read from, and every resolved owner keeps the filing chain behind it. Checking a figure you doubt takes seconds. That property is the reason the outputs are usable in front of an investment committee.

Do you guarantee deals?

No. What the system produces is coverage and evidence: what exists in your counties, who is behind it, whether you can reach them, and what each one looks like underwritten. Whether any of it trades depends on your capital and your close rate, and anyone promising otherwise is selling something else.

How long before it is running?

The proof of concept is two weeks and produces real output on your own buy box. A production build is scoped from what those two weeks found, because a county footprint that turns out to be mostly gated is a different build from one that is mostly bulk downloads, and you cannot know which you have until somebody looks.

See it run on your own buy box.

Off-market sourcing by asset type

One engine, matched to the buy box you actually buy on.

Solution

Living & Residential sourcing

Managed off-market sourcing for residential, BTR, PBSA and senior living, matched to your buy box and the rents you actually model. We surface sites and standing assets before they list, so your team underwrites instead of hunts.

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Solution

Industry & Logistics sourcing

Managed off-market sourcing for industrial & logistics, run against the buy box you actually buy on, not a portal dump. We watch the market so your team underwrites deals instead of hunting for them.

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Solution

Data Centers sourcing

Managed off-market sourcing for data centers. Land with the power, connectivity and planning that actually pencil, matched to your buy box. In a landgrab, we get you to the sites first.

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Solution

Hospitality sourcing

Managed off-market sourcing for hotels. Single assets and portfolios, matched to your buy box and the RevPAR you underwrite. We surface deals before they're marketed, so your team moves on the ones that pencil.

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Solution

Offices & Workspaces sourcing

Managed off-market sourcing and screening for offices, matched to your buy box and the basis you'll actually pay. In a repricing market, we separate the value-add from the value-trap before your team spends a week on it.

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Solution

Retail & Mixed-Use sourcing

Managed off-market sourcing for retail and mixed-use, matched to your buy box and the tenant and footfall case you underwrite. We surface deals the market has written off, so your team acts on real fundamentals.

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