FIUND / Document AI

Documents with the structure your model needs.

Define source documents, connected records and written content for extraction, retrieval and document understanding. Scope the relationships, privacy treatment and permissions alongside the file formats.

FIUND / COLLECTION STRUCTURE
RECORD 01Invoices and quotationssource_id · relationship · content
RECORD 02Product documentationsource_id · relationship · content
RECORD 03Customer-support correspondencesource_id · relationship · content
ILLUSTRATIVE FORMAT Assets confirmed per collection

Model tasks

Choose data for the behavior you need.

01

Extract information from records

Specify document types, layouts and the fields your model needs to recognize. Agree whether source files, text representations or both are required.

02

Understand connected workflows

Preserve useful relationships between records using agreed identifiers. Define the links needed to interpret a transaction, exchange or process.

03

Evaluate retrieval and written context

Select written material relevant to the domain and task. Define coverage, granularity and what constitutes a usable example.

Relevant data types

Explore the source formats and context that could support your task. Access and suitability are confirmed for each proposed project.

Scope before scale

Define a sample you can evaluate.

Source and representation

Document types, languages, layouts, original file formats and any text extraction.

Relationships and labels

Record identifiers, cross-document links, field definitions and annotation requirements.

Privacy and licence

Sensitive fields, redaction needs, permitted uses and the authority to license the material.

Sample review

Questions to settle early

  • Document coverage matches the target domain
  • Source-to-text relationships remain clear
  • Required labels and links are specified
  • Privacy treatment fits the intended use
Quality & delivery documentation ↗

Start with a scoped brief.

Tell us the source, coverage and intended use. We assess fit and permissions, identify preparation needs, and agree a pilot or delivery scope.

Frequently asked questions

Are extracted text and field labels included?

They are confirmed for the proposed source. Extraction, labeling and quality requirements are scoped separately when the needed representations are not already available.

Can connected records be delivered together?

Include the relationships your model needs in the brief. Feasibility depends on available identifiers, source rights and privacy requirements.

Can I train on personal or confidential records?

That depends on the source and intended use. Privacy treatment, authority and contractual restrictions must be assessed before any delivery is agreed.