Maps the mills and job-workers behind garment exporters for EU buyer checks
TL;DR Upstreamly maps the spinners, dyehouses and job-workers that sit behind a mid-size Indian garment exporter, visits the ones that matter, and packages the evidence European brands now ask for. Exporters pay a yearly fee per buyer programme. It might work because the questions are getting harder and few exporters know their own tier-3.
India exported US$15.77 billion of ready-made garments in FY26, the largest slice of its US$35.52 billion textile and apparel trade[1]. Much of it is made through layers of suppliers. The exporter knows its fabric mill, but it often does not know the spinner behind the mill, the dyehouse the mill uses or the job-workers who do embroidery in peak season.
Why does that matter now? European brands are legally on the hook for those layers. Germany's supply chain law has covered firms with 1,000 or more staff since January 2024[2], and the EU's due diligence directive will apply from July 2029[3]. The brands pass the questions down. A mid-size exporter answers each buyer's questionnaire separately, in spreadsheets, and has nobody to check whether the answers hold up. I found no public count of how many such questionnaires exporters handle.
First, the regulatory bit - Upstreamly is a supplier-mapping and evidence service. It is not a certification body or a social auditor, and it does not issue certificates. It helps exporters answer due diligence questions that EU law places on their buyers[2][3].
Upstreamly starts with the exporter's purchase records and works back - which mills, which spinners, which dyehouses and job-workers, at what addresses. Field staff visit the high-risk sites, collect permits, wage records and photos, and note the gaps. Each site is matched to its public ID on Open Supply Hub so buyers can recognise it[4].
The exporter gets one supplier map and one evidence folder that answers every buyer's questionnaire, updated each season.
The original idea put tiered certificates on a blockchain, and I've reframed it. A ledger only stores what someone types into it, and the hard and valuable work is getting true facts out of small suppliers, so that's what Upstreamly sells.
The exporter pays, usually the compliance or merchandising head, because repeat orders depend on clean answers. Some EU brands may co-fund mapping for key suppliers. I found no public price for this service in India. My assumption is a yearly fee per exporter, sized below the cost of one full-time compliance hire.
The EU's Omnibus changes, in force from March 2026, kept the due diligence duty but let companies focus on where harm is most likely[3]. That pushes brands to ask harder questions about high-risk tiers such as spinning and dyeing. German enforcement has run since 2023 and reporting moves onto EU rules from 2026[2].
There's no public figure for what Indian exporters spend on supply chain mapping. The narrowest firm number is the exposure - US$15.77 billion of Indian apparel exports in FY26[1], part of it sold to brands covered by these laws. Adjacent: global traceability software already serves large European fashion brands[5], which shows buyers already pay for this data.
Global traceability platforms sell software to fashion brands, with supply chain mapping and a CSDDD module[5]. Open Supply Hub is a free map of over 2.5 million facilities[4]. Social audit firms check individual factories. The gap sits right between them, because software assumes suppliers will type in their own data and audits stop at tier one. A field-backed mapping service for the exporter is what's missing.
| Difficulty | Moderate (41/100) |
| Starting capital | ₹45–85 L |
| Time to launch | 4–6 months |
The software is simple. The hard bits are getting small spinners and job-workers to share records, and keeping maps current as suppliers change every season. Exporters are also nervous about what mapping might dig up, so trust and strict confidentiality matter from the very first meeting.
No Indian licence is needed to map suppliers. The rules that matter bind your exporter's European buyers, and they pass the duties to you.
Building this outside India? The categories above usually have a local equivalent, so check with your own regulator.
Don't trust AI to judge whether a supplier treats workers fairly. Only a visit and real records can tell you that.
Want to work out the AI layer for Upstreamly? Talk to Yash →
Here's what can go south -
I like this for a founder from garment sourcing or social compliance who knows the clusters around Tiruppur, Bengaluru or Noida. A pure software founder will struggle, honestly. First prove that three exporters will pay to map one buyer programme, and that the map changes what their buyers decide.
Around ₹45–85 L, mostly field staff, travel to the clusters and a simple mapping tool. The software is the cheap part.
No Indian licence is needed. You do need DPDP-compliant handling of worker records, and you must not present your work as a certification.
It can be if exporters see the map as the way to keep EU orders. Prove that three exporters will pay for one buyer programme before you hire a field team.
The free Upstreamly validation kit has the line-by-line capital breakdown, the effort scoring, the EU and German rules checklist, a 14-day validation sprint with pass/fail targets, a 90-day launch plan, 10 interview questions for exporters and buyers, and 5 assumptions to test. Download the kit →
Thinking about building Upstreamly or something close to it? The make-or-break work is getting tier-3 suppliers to open their records to you, and I'm happy to think that through with you. If you need a hand, you know where to find me. Talk to Yash →
For illustration only. Names are fictional and ideas hypothetical; sourced facts are real but may be out of date. Nothing here is legal, financial or professional advice, and Yash Khatri is not personally liable for any use of it. Read the full disclaimer.