The same pipeline powers every solution. It's designed so sensitive legal and financial documents never have to leave your environment.
At every stage you can see what Qomrah produced and why — text, structure, evidence, and reasoning are all open to review.
Drag in files or connect a folder, bucket, or scanner. Batches of thousands run unattended.
Arabic OCR recovers text, layout, and reading order, with a confidence score on every region.
The document is segmented and tagged: sections, clauses, parties, dates, and figures.
Legal and financial models analyse, compare, and answer — retrieving only relevant passages.
Deliver briefs, structured exports, dashboards, or a live assistant — through console or API.
Legal and financial archives are among the most sensitive data an organisation holds. Qomrah is built to respect that from the start.
Run on-premises or inside your own cloud tenancy. Documents never need to leave your perimeter.
Keep data in-region to meet local requirements. Nothing is used to train shared models.
A clean REST API and embeddable widget drop Qomrah into your existing systems and workflows.
Every answer keeps its source citations, so each output can be reviewed and defended later.
Arabic and English are first-class throughout — input, interface, and output.
Batch processing handles tens of thousands of pages, with cost-aware routing under the hood.
Cloud, private cloud, or on-premises — we'll walk you through the option that fits your data and your rules.
Request a demo