SELECTED WORK / AI & Automation

Customiser AI
App

An AI manufacturing workspace for BOM extraction, drawing comparison and document review. Fron Hasani leads product design and development and contributes to AI and backend work with collaborators.

ALL WORK
Dark Customiser application screens showing document files, review controls and a sign-in screen.
THE PROJECT

Project overview.

An AI manufacturing workspace for BOM extraction, drawing comparison and document review. Fron Hasani leads product design and development and contributes to AI and backend work with collaborators.

Company
Customiser AI
Year
Ongoing (2025–Present)
Services
UI/UX Design, TypeScript Development, API Integration
Duration
Ongoing

Customiser is an AI product for manufacturing documents. Its workflows include extracting a bill of materials from technical drawings, checking drawings against a BOM and comparing supplier quotes or document revisions. Each workflow pairs processed output with the source material needed to review it.

Verification is central to these tasks. A result needs to show where an item came from, which documents were compared and what may be missing. Distinct jobs have their own inputs and review screens, separating processing from the decision to accept or correct its output.

As Chief Product Officer, Fron Hasani leads product direction, UI and UX design, and TypeScript frontend development. He also contributes to AI and backend implementation with collaborators and connects those services through APIs. The product remains under ongoing development, with review controls and source references central to the work.

BOM extraction places the source PDF beside an extracted table with CSV output. Click-to-highlight interactions connect information to its source location. Drawing intelligence presents drawings and the BOM with matches, mismatches and missing items in a table and supporting summaries. Document comparison uses side-by-side views for supplier documents or revisions. Job detail pages provide a place to return to each workflow's output.

Users can inspect extracted rows, examine comparison findings and revisit job details before relying on a result. The TypeScript frontend connects AI processing to these review steps. A completed job produces information for inspection, with the underlying documents remaining part of the experience.

Discuss your
next project.

Let’s talk
“
Fron Hasani

FOUNDER & PROJECT LEAD

I lead each project and stay involved in the work.
Tell us what you need. I’ll review your enquiry and discuss the next steps with you.

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