Turn piles of documents into structured, searchable data.
CVs, job ads, contracts, medical records, production sheets, forms. Your business runs on documents that people read, retype and search by hand.
We build systems that read them for you. They extract the fields you need, sort records into your categories, and make your whole archive searchable by meaning, not just by keyword. Built for messy real-world text: inconsistent layouts, typos and odd formats.
Start with your own documents.
Clear signs that document work is slowing your team down.
Document Intelligence is for teams spending too much time reading, retyping, sorting or searching information by hand.
Turn unstructured documents into information your systems can use.
The system reads, structures and organises document content so your team can spend less time on repetitive manual processing.
Structured records from unstructured text
Names, dates, skills, amounts, codes or whatever your process needs. Each field comes with a confidence level, and uncertain ones can go to a person for review.
Classification and tagging
Documents are sorted into your categories at volume. The model can improve from your team’s corrections.
Search by meaning
Find the right document among large archives even when the words in the search do not exactly match the words in the file.
Built around the system you already use
The document-processing functionality can be delivered inside your existing platform or as a standalone solution.
Useful wherever documents are still doing too much manual work.
The common problem is not the industry. It is valuable information trapped inside documents that people still have to process by hand.
Where the work starts
What the system makes possible
A large volume of documents that people still process manually.
The same approach can apply to other back-office processes where important information is locked inside files, forms or free text.
Less document handling. More time for the work around it.
The goal is not to remove people from the process. It is to stop asking them to repeat work the system can handle consistently.
Document Intelligence already in production.
A real recruitment workflow shows how document processing can move repetitive data entry out of the recruiter’s day.
From incoming CVs and job ads to structured, searchable profiles.
CVs and job ads arrive in many different formats.
The system has to work with the inconsistent layouts, wording and typos that appear in real recruitment documents.
The engine reads the documents and turns them into structured profiles.
Important information is extracted and organised so it can be used by the recruitment platform.
The resulting information becomes structured and searchable.
Recruiters can work with the information inside the platform instead of repeatedly reading and retyping the original documents.
Recruiters spend their time on candidates, not on data entry.
The document-processing layer handles repetitive information work while people remain responsible for recruitment decisions.
Start with your own documents.
Before committing to a larger implementation, we test the approach against the files and formats your team actually works with.
One-week feasibility check
Your own sample documents
What we can reliably extract
A realistic implementation scope
Build only after the approach is proven
Experienced engineers. AI as an assistant.
Every project has a software architect at the steering wheel, and a person is responsible for everything we ship.
Schedule a conversation with our expert team.
Bring or send us 20 sample documents. Within a week we can tell you what we can extract, how accurately, and what it would take to build.