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INDUSTRIES/REAL ESTATE

Documents turned into portfolio data you can query

Property runs on paper: leases, contracts, valuations, statements. The information you need for a decision exists, in a PDF, in a folder, in a form nobody can aggregate. We turn that into structured data and keep it current.

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What the teams we work with are dealing with

LEASES

Terms locked in PDFs

Break clauses, escalations and options buried across hundreds of agreements, re-read manually every time.

REPORTING

Investor packs by hand

Numbers assembled from many sources each quarter, with no trail back to the document.

ENQUIRIES

Leads go cold

Interest arriving faster than anyone can qualify, and a CRM that only sometimes gets updated.

OUR WORK HERE

Where we usually start

Lease and contract abstraction

Key terms extracted into structured records with a link to the clause, so a portfolio question becomes a query.

Portfolio and investor reporting

Reporting assembled from the underlying records automatically, with the source traceable per figure.

Enquiry handling

Qualification and follow-up that writes back to the CRM properly, so the pipeline reflects reality.

Platform work

Internal tools for asset, tenant and maintenance management, replacing the workbook that currently runs it.

ENGAGEMENT

Typical shape of a real estate engagement

Short cycles, visible progress, and a scope you can change. You see working software every week rather than a status report.

WHAT YOU KEEP

The repository, the infrastructure code, the evaluation set and the documentation. In your accounts, under your licence, from the first commit.

First week

Sample the document set, agree the fields that matter, and build the evaluation set from documents you already know.

Second week

Working extraction over a slice of the portfolio, with per-field accuracy reported honestly.

From there

Review interface, reporting layer and CRM integration, rolled out asset class by asset class.

Then on

New documents processed as they arrive, with accuracy tracked and the field set extended as needs change.

What we are careful about

Extraction is measured

Accuracy is reported per document type and per field. A number with no confidence attached is not useful.

Legal review stays

Abstraction speeds up a lawyer or asset manager, it does not replace their sign-off.

Source always visible

Every extracted term links back to the clause it came from.

Sensitive data

Tenant and financial information is scoped per role and never used for training.

Tell us which portfolio question takes a week to answer

Thirty minutes with an engineer who has shipped in this sector. You leave with a scope and a straight answer on feasibility.

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