From Paperwork To Clean Data

Document Processing That Reads, Checks and Files For You

We build pipelines that read your invoices, forms and contracts, pull out the fields you need, and check them against your own records before delivering clean data to the system that needs it. Your team reviews the exceptions instead of retyping everything.

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Overview

Stop retyping what is already on the page

Hours become minutes

A stack of documents is read and entered while your team gets on with work that needs a person.

Reads real documents

Scans, photos, PDFs and emailed attachments, in the layouts your suppliers and customers actually send.

Checked, not trusted

Every extracted value is validated against your rules and records before it reaches your system.

Fewer typing errors

The wrong digit, the transposed date and the skipped line stop slipping through unnoticed.

Somewhere in your business, a person is reading a document and typing what it says into another system. Invoices into the accounting tool. Application forms into the database. Contract dates into a spreadsheet so nobody misses a renewal. It is slow, it is dull, and it is exactly where typos get in.

The information is already there. It just is not in a form your systems can use.

We build pipelines that read your documents, pull out the fields you care about, check them against your own records, and deliver clean data to the system that needs it. Anything the pipeline is unsure about goes to a person with the doubtful field highlighted, so your team reviews exceptions instead of retyping everything.

Talk to Our Data Team

Hours become minutes

A stack of documents is read and entered while your team gets on with work that needs a person.

Reads real documents

Scans, photos, PDFs and emailed attachments, in the layouts your suppliers and customers actually send.

Checked, not trusted

Every extracted value is validated against your rules and records before it reaches your system.

Fewer typing errors

The wrong digit, the transposed date and the skipped line stop slipping through unnoticed.

Document & Data Processing

What We Can Read And Process

Start with the document type that costs you the most time. The same pipeline pattern extends to the next one.

Invoices & Receipts

Supplier, dates, line items, tax and totals are extracted and matched to the purchase order, ready for your accounting system.

Forms & Applications

Application forms, onboarding packs and claims are turned into structured records, whether they arrive as scans, photos or typed PDFs.

Contracts & Agreements

Parties, dates, renewal terms and key clauses are pulled out and flagged, so a renewal deadline never depends on someone remembering.

Classify & Sort

A mixed pile of incoming documents is identified and sent to the right place, instead of someone opening each one to see what it is.

Review Only The Doubtful

Clear documents pass straight through. Anything uncertain lands in a review queue with the doubtful field highlighted next to the original.

How It Works

From A Page To A Clean Record

Five stages run on every document. The one that matters most is the fourth: a person only sees what the pipeline is not sure about.

01
Receive
Documents arrive by email, upload or scan and are collected into one place.
02
Read & extract
The pipeline identifies the document type and pulls out the fields you defined.
03
Validate
Values are checked against your rules and records: do the lines add up, does the order exist, is the date plausible.
04
Review exceptions
Anything uncertain or inconsistent goes to a person, with the field highlighted beside the original.
05
Deliver
Clean, approved data is written into your accounting tool, database or CRM.

Supplier invoice

Illustrative example

Supplier
Example Supplier Ltd
Validated
Invoice number
INV-10482
Validated
Invoice date
14 March
Validated
Purchase order
PO-2291 · matched
Validated
Total
1,240.00 · does not match line items
Needs review

ValidatedNeeds review

How We Work

From Your Backlog to a Running Pipeline

We build against your own documents, not samples from a brochure. These six steps are how we get from a folder of real paperwork to a pipeline you can rely on.

01
Collect Real Samples
We gather a representative set of your documents, including the messy ones, since those are what decide whether it works.
02
Define The Fields
We agree exactly which values you need out of each document type and where they have to go.
03
Build The Extraction
We set up reading for each layout and document type, and tune it on your samples until the fields come out right.
04
Add Validation Rules
We encode your checks — totals that must add up, orders that must exist — so errors are caught before they reach your systems.
05
Test On Your Backlog
We run it over a batch you have already processed by hand and compare the results, so accuracy is measured on your documents.
06
Go Live With A Review Queue
It goes live with exceptions routed to your team, and we use what they correct to keep improving it.