Unframe AI lease abstraction pricing and alternatives: what the Cushman & Wakefield build means for a smaller portfolio

Every Unframe entry below comes from Unframe's own website: its real estate industry page, the Cushman & Wakefield customer story, its about page and its post on outcome-based pricing. Nothing is taken from a software directory.

The honest summary: Unframe wins on breadth, on multi-language work and on running inside your own data perimeter. LeaseAbstracts wins on speed to the first result, on a price you can see, and on fit for a portfolio measured in dozens or hundreds of leases rather than tens of thousands.

Unframe does not publish a price, and there is no pricing page on its site. What it does publish is the shape of the deal, and it is unusual enough to be worth reading closely.

Unframe calls its model outcome-based. You agree a use case tied to a number (its real estate page says "revenue, cost, speed, accuracy"), Unframe configures a solution, and you evaluate it on your real data in your real environment. In Unframe's words: "If it delivers the outcome we aligned on, you subscribe. If it doesn't, you don't pay. No upfront licensing." Once you subscribe, its pricing post describes "a predictable annual fee per solution, with unlimited users and unlimited usage", with no seat counts and no token tracking.

Two things follow. First, the risk of a failed pilot sits with the vendor, which is genuinely buyer-friendly. Second, the fee is set per solution and negotiated for your organization, so you will not know the number until you have spent time on scoping and a proof. For an enterprise that is normal. For a team that simply needs 120 leases abstracted before a budget meeting, it is a long road to a price.

For comparison, self-serve abstraction is priced in the open. On our plans the per-lease cost falls from about $3.27 on Solo to about $1.99 on Team and $1.60 on Firm at full use, and the lease abstraction software pricing page lines up every vendor that publishes a figure.

This is the case study most buyers have heard about, so here it is from the source. Unframe's customer story says lease abstraction at Cushman & Wakefield used to take "anywhere from six hours to three days" per lease depending on complexity, and that the firm evaluated multiple vendors and internal approaches without finding both the accuracy and the speed it needed.

Read it for what it is: a custom build for one of the largest commercial real estate services firms in the world, serving brokers across a global client base. It shows that Unframe can deliver. It does not tell you what a 150-lease portfolio would cost, because the engagement was never sized for one.

Lease abstraction is one line in a long list. Unframe's real estate page groups its solutions into four areas: capital markets and investment management (deal and offering memorandum screening, covenant tracking, investor reporting), brokerage and leasing (lease abstraction across multi-language portfolios, tour books, comps, LOI and lease negotiation support), property and facilities management (CAM reconciliation and expense tracking, predictive maintenance, tenant service), and valuation and advisory (rent roll standardization, Argus and Excel model pre-population).

Its FAQ adds the details a security review will ask about: data points link back to their source clause, the platform connects to Yardi, MRI Software, RealPage and Argus, sensitive data stays inside your environment, and it lists SOC 2, ISO 27001, ISO 42001 and GDPR. Unframe, Inc. is based in Cupertino, with offices in Tel Aviv and Berlin, and its site notes that Swish AI is now part of Unframe.

That breadth is the point of the product. If you want one partner across underwriting, leasing and operations, it is a real advantage. If lease abstraction is the only job, you are buying access to a platform to use one corner of it.

It would be wrong to present Unframe as the weaker option across the board. Three buyers should call it first.

• A global portfolio in several languages. Unframe names multi-language lease processing as a delivered capability. Our tool is built for US English commercial leases.
• A firm that cannot send documents to a hosted tool. Unframe deploys inside your environment on your choice of models. Some institutional owners and law firms require that.
• An enterprise AI program. If lease abstraction is the first of ten use cases, one platform with one annual fee per solution can be simpler to govern than ten point tools.

If none of those three describes you, the engagement model is doing work you do not need.

Most US lease teams are not Cushman & Wakefield. A regional property manager with 90 retail leases, a controller loading 60 office leases into a new lease accounting system, or an acquisitions analyst with a data room of 40 leases due in ten days all have the same problem: they need each lease turned into a checked, structured record, soon, at a cost someone can approve without a procurement cycle.

For that job, upload the lease with its amendments, review the fields the model graded as uncertain against the clause each one came from, and export. Solo covers 15 leases a month, Team 75 with a Yardi or MRI mapped export, and Firm 250 with batch upload, data room mode and API access. If the leases are bound for an accounting system, our ASC 842 lease data extraction page lists the fields the schedules need, and the automated lease abstraction software page covers bulk workflows.

Because there is no public price, the scoping call is where you find out whether Unframe fits. Five questions decide it:

• What is the annual fee per solution for lease abstraction at our volume, and what counts as a separate solution? Ask whether CAM reconciliation or rent roll work would be a second fee.
• What outcome will the proof be measured against, and who scores it? Agree the fields, the sample and the accuracy threshold in writing before the proof starts.
• How are amendments handled? Ask whether the abstract reflects the lease as amended, or the original lease with amendments listed beside it.
• Where does our team review the output, and in what format does it leave the platform?
• What happens after year one? Ask about renewal terms and what you keep if you leave.

Bring your messiest lease to the proof: a scanned original with three amendments and a side letter tells you more than a clean sample ever will. The full list of lease abstraction software alternatives covers the rest of the field if you want more names on the shortlist.