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Digital Product Passports for fashion brands. Collect the data once, reuse it for every compliance output.

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DCIM software reinvented.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | seamdex.com | hyperviewhq.com |
| Pricing | ||
| Platforms | — | |
| Company | Startup from the United Kingdom · 1 - 9 employees | 20 - 49 employees · 2020 |
| Listed in |
In their own words, as submitted to SaaSHub.


Seamdex turns one garment record into every compliance output a fashion brand will be asked for: a Digital Product Passport on your own domain, a GS1 Digital Link QR code for every size and colour, and the figures national textile EPR schemes require. The EU rules are still moving. The passport...
Hyperview is the No.1 cloud-based Data Center Infrastructure Management (DCIM) platform designed to optimize and streamline the operations of modern data centers. Our state-of-the-art software platform empowers businesses to effectively manage their data center assets, reduce energy consumption,...
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As answered by people managing Seamdex and Hyperview.
Seamdex's answer
Seamdex is built for textiles, not adapted to them. One garment record, imported from a purchase order, becomes the Digital Product Passport, a GS1 QR code for every size and colour, and the EPR filing, live the same day at one published price.
Seamdex's answer
You can start today, you know the full price before you talk to anyone, and the product was built for garments from the first line. Most tools in this space quote an onboarding project, hide pricing behind a demo call and adapt a generic passport to fashion.
Seamdex's answer
Small and mid-sized fashion and textile brands that sell in the EU and want Digital Product Passports and EPR data without an enterprise budget or an implementation project.
Seamdex's answer
Seamdex started from one observation: the facts about a garment already exist, but brands type them again for every label, retailer sheet and compliance file. As the EU began asking for more of exactly that data, we built one record that feeds every output.
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