Structured, verified data from any document

Where messy documents become data you can trust.

Scan.Structure.Trust.

Invoices, filings, contracts, scanned forms. The information your business runs on is trapped in pages no dashboard can read. Structura hands it back as clean, organized data you can trust, build on, and sell.

Documents we turn into data

Invoices Purchase orders Receipts Bank statements Remittances Expense reports Regulatory filings Prospectuses Credit agreements Loan documents Fund fact sheets Contracts Amendments Leases Deeds & titles Appraisal reports Offering memoranda Benefit summaries Explanations of benefits Formularies Provider directories Prior-auth rules Medical claims Lab reports Policy forms
Endorsements Rate cards Certificates of insurance Spec sheets Safety data sheets Bills of material Supplier contracts Bills of lading Shipping manifests Packing slips Permits & licenses Tariffs Compliance manuals Court filings Patents Tax forms Pay stubs Utility bills Inspection reports Warranties Quotes & estimates Order forms Scanned forms Policy manuals

Text-based or scanned, one page or ten thousand. You name it, we read it.

The problem

The truth lives in documents, not databases.

Every operationally heavy industry has the same buried asset. The document is dense, inconsistent, and written for humans. The volume is too high to key in by hand and too irregular for a simple template. The stakes are high enough that a wrong number is worse than no number.

So the data stays locked up, and every team downstream rebuilds it from scratch, badly. Off-the-shelf OCR gives you text, not data. Generic AI gives you a plausible guess with no way to tell right from wrong. Neither one is something you can put in front of a customer.

What we do

We build the structured layer your documents never had.

You give us the source material for a domain. We define the exact shape of the data that matters in your world, extract every field from every document, verify it, and deliver it in the form you already work in: a clean spreadsheet, a database table, or a live feed, with a schema you own.

The result is not a pile of text. It is organized information where every entry is a real thing, every detail is clearly defined, and every value has been checked. It is the difference between "we have the documents" and "we have the data."

How it works

From raw documents to data you can build on.

Scan
1

We map your domain

We define the fields that matter: what an entity is, what each attribute means, what a valid value looks like. This becomes your schema, with real field names and no guessing.

2

We ingest the sources

PDFs, web pages, scans, photographed pages. Formats that fight back are our normal case, including sources that are geo-blocked, inconsistent, or hundreds of megabytes each.

Structure
3

We extract into the schema

The engine reads each document and populates every field, handling the fan-out across regions and line items so the output sits at the grain you actually query.

Trust
4

We verify and report gaps

Every extraction is checked. You get the data plus a report of what was found, what the source never contained, and what needs review, before you build on it.

Any document. Any format. Any size.

The mess in your source is our problem, not your line item.

A pristine digital file and a stack of crooked scans come back as the same clean, organized result. You cannot tell from the data which source was easy and which was a fax.

+Text-based PDFs. Born-digital files with selectable text. The easy case, done at volume.
+Scanned & image-only PDFs. Faxes, photocopies, signed forms, photographed pages. Pictures of text, not text. We read them anyway.
+One page or ten thousand. A single invoice or a thousand-page policy manual runs through the same pipeline.
+Small, large & enormous files. Catalogs and filings that run to hundreds of megabytes and choke ordinary tools are a normal input.
+Mixed batches. A folder where every document is a different layout, vintage, and quality, normalized into one schema.
+The template-breakers. Multi-column layouts, dense tables, stamps, handwriting, footnotes, forms that changed format three times.

The standing offer

Bring us the document everyone said couldn't be parsed.

No format we won't take. No domain we won't map. If it holds the data your business runs on, it is in scope. Name the problem — we build the pipeline around it.

Why Structura

Data you can actually put in front of a customer.

A schema you own, not a black box

The data comes out in a shape you defined, with real field names and types. It plugs straight into your database, CRM, ERP, data warehouse, custom product, or your customer's systems, without a cleanup project in between.

Verification is the product

Anyone can get a model to guess. We tell you which values were confirmed, which were absent from the source, and which need a human. That is what makes the data safe to sell.

Built generic from day one

The engine that breaks dense cost and coverage terms into clean, typed fields can be pointed at leases, filings, spec sheets, or invoices just as easily. New vertical, new schema, same machine.

We handle the ugly reality

Blocked sources, inconsistent formats, enormous files, entities that fan out across regions. The parts that make everyone else say "custom project, call us" are our default path.

Cost and completeness under control

The engine is bounded so a hard document can't run up a runaway bill, and it sweeps the full field set so nothing quietly gets skipped.

Non-destructive, versioned re-runs

When a source updates, we re-extract without ever clobbering the data you already trust. Your feed stays current with no one re-keying a thing.

Where this works

If an industry runs on documents, it needs Structura.

A few of the North American verticals with exactly this shape, where someone is reading documents by hand and wishing they had the data instead.

Healthcare & benefits

Plan documents, formularies, provider directories, prior-auth rules.

Insurance

Policy forms, endorsements, rate filings, coverage comparisons across P&C, life, and specialty.

Financial services

Prospectuses, credit agreements, fund fact sheets, disclosure filings.

Finance & back office

Invoices, purchase orders, receipts, remittances, statements, expense reports across any vendor format.

Real estate

Leases, offering memoranda, appraisal reports, HOA and title documents.

Government & regulatory

Permits, tariffs, public filings, compliance manuals.

Manufacturing & procurement

Spec sheets, safety data sheets, bills of material, supplier contracts.

Legal

Contracts, amendments, filings, and case documents at portfolio scale.

How we work with you

Start small. Prove it on your own documents.

Scale

Across the full domain

Once the pilot proves out, we expand: more documents, more regions, more entities, refreshed on your schedule.

Ongoing feed

Always current

For sources that change, we run continuous, versioned re-extraction so your dataset stays current without anyone re-keying a thing.

Why now

Have a document domain that should be a database?

The cost of reading a document carefully just collapsed. The winners in every document-heavy industry will be the ones who turned their filings into data first. We built the machine that does it. Now we point it at your documents.

FAQ

The questions buyers ask first.

How is this different from OCR or a document AI tool?
Those give you text or a one-off answer. We give you a defined, verified dataset at the grain you query, with a report of exactly how complete and trustworthy every field is.
How do we know the data is right?
Every extraction runs through a verification pass. You receive a gap report showing what was confirmed, what the source never contained, and what needs review. You never have to take an unchecked number on faith.
What if our documents are inconsistent or badly formatted?
That is the normal case, not the exception. Inconsistent, blocked, oversized, and irregular sources are what the engine was built to handle.
Our documents are scans, not digital text. Can you still do it?
Yes. Scanned, image-only, and photographed documents are handled the same as born-digital PDFs. The output looks identical either way. You cannot tell from the data which source was clean and which was a fax.
How big can the files be?
From a one-page invoice to filings that run to hundreds of megabytes. Size is a matter of runtime, not capability, and it never changes the shape of what you get back.
Do we own the result?
Yes. You own the schema and the data. We provide the extraction engine and the delivery.
How do you price it?
One scoped price per engagement. We look at your material up front and quote a fixed number for the pilot. Whether the documents are text or scanned, tiny or enormous, clean or chaotic, the difficulty is built into the work rather than passed to you as surprise line items.
How do we start?
A fixed-scope pilot on one slice of your domain. Low commitment, real output from your own documents.