
Through the collaboration, every kilo of Circulose pulp will be digitally traced from pulp to finished product, with a joint ambition to extend traceability further upstream over time. This gives brands verified, data-backed visibility to support circularity claims, build consumer trust, and prepare for upcoming regulatory requirements.
“As the industry shifts to preferred and circular materials, strong traceability is critical to ensure integrity of sustainability claims,” said Jonatan Janmark, CEO of Circulose. “By embedding traceability through TextileGenesis as part of our integrated solution, we make traceability easy for all brands that are buying Circulose.”
Discover B2B Marketing That Performs
Combine business intelligence and editorial excellence to reach engaged professionals across 36 leading media platforms.
The traceability is powered by TextileGenesis’ Fibercoin system, which assigns a unique digital token to each unit of Circulose, recording every transformation step in the supply chain and preventing double-counting. This ensures a secure, real-time chain of custody from pulp to garment.
“TextileGenesis enables brands and producers to ensure a secure, transparent, and fully digital mapping of Circulose material flows,” said Amit Gautam, founder and CEO of TextileGenesis. “Together, we are proving that traceability is not a future ambition. It is a present-day reality.”
Circulose says the partnership underscores its commitment to being a complete solution provider for brands, rather than solely a pulp producer. Integrated traceability, combined with its unique licensing-based pricing model, makes it easier for fashion brands to transition from virgin fibres to a scalable, circular material solution. Through this collaboration, all brands purchasing Circulose will be able to achieve full traceability using the TextileGenesis system.

US Tariffs are shifting - will you react or anticipate?
Don’t let policy changes catch you off guard. Stay proactive with real-time data and expert analysis.
By GlobalData