See how companies use EVAHub to transform their technical documentation into structured, actionable data.
A leading European electronics distributor specializing in industrial computing, networking, and IoT solutions. They work with 60+ international manufacturers and manage a growing catalog of technical documentation across thousands of product lines.
From 80 hours/week of manual catalog management to less than 5 hours
Every document with full specs, ontology, metadata, and compliance data
Continuous monitoring for new products and updates from all sources
AI extraction + human verification = precision-grade data quality
Every new product datasheet meant hours of copy-pasting specs into spreadsheets and CMS fields. With 60+ manufacturers releasing updates regularly, it was impossible to keep up.
Each manufacturer uses different datasheet layouts, terminology, and units. Normalizing "Operating Temperature: -40~+75°C" vs "Temp Range: -40 to 75 degrees" was a nightmare.
Products were categorized differently by each manufacturer. No ontology, no taxonomy, no consistent way to search or compare across brands.
By the time the team finished processing last month's datasheets, new ones had already been released. The catalog was always behind.
Connected to 60+ manufacturer data sources. PDFs, HTML pages, and XML feeds automatically ingested and queued for processing.
Domain-trained models extracted all parametric data from datasheets: specs, dimensions, electrical characteristics, certifications, compliance flags.
Every product classified into a unified taxonomy: Category → Subcategory → Product Family → Model. Cross-references and alternatives mapped automatically.
24/7 monitoring of manufacturer sources. New products, spec changes, and EOL notices detected and processed automatically.
Engineering team freed from manual data entry. 75+ hours/week reclaimed for higher-value work.
+260% organic traffic thanks to structured, indexable product data on every catalog page.
New products from manufacturers appear in the catalog within hours, not weeks.
Structured data now feeds AI assistants, search engines, and partner integrations.
Whether you're an electronics distributor, an AI lab, or an enterprise with technical documentation — we can help you unlock the value in your data.