STCH secured $7 million in a pre-Series A funding round led by Omnivore

SUMMARY
STCH has raised $7 million in a pre-Series A funding round. The venture capital firm Omnivore spearheaded this large capital infusion and was joined by Kae Capital and WVC. With this funding, STCH will be able to speed up the implementation of the technology-driven solutions in the fabric industry, giving it more attention towards sustainability and high-performance material development.
Sustainability standards and strategic growth
The company functions with a complex contract development and manufacturing organization (CDMO) model, and this enables it to become the critical point of interactions within the global textile supply chain. In contrast to other traditional manufacturers, STCH uses its proprietary AI-driven platform to coordinate the lifecycle of fabric development, starting with initial research and ending with end-developed production.
The platform aims specifically to support global fashion brands in creating and delivering not only trend-aligned fabrics, but also those that satisfy high-performance and sustainability standards. The startup is a major enabling factor to brands since it streamlines the complicated task of scaling production of high-quality fabric in an environmentally responsible manner.
Narahari Payala and Aseem Chitkara established STCH in 2025. STCH is favored by its founders, who have substantial experience in the industry, both having worked in the manufacturing unicorn, Zetwerk. Their background in the textile and manufacturing ecosystem has played a significant role in the alignment of the startup in terms of strategic growth and innovation pathways.
STCH provides another platform with high-level AI-driven processes to examine the changing trends in fashion worldwide and enable brands to be ahead of consumer needs. In addition to trend analysis, the AI system is also applied to make fabrics environmentally friendly because it helps identify sustainable fibers. The technology is also efficient in streamlining the supply chain throughout a regulated manufacturing system covering India and other regions in Asia, so that production can be of high quality as well as economical.
Efficiency and global expansion plans
STCH is a relatively new company, but it has shown solid market penetration and commercial sustainability. This has enabled the startup to develop a strong order book, which is now over 15 million, propelled by the inquiries of major fashion firms located in the United Kingdom, Europe, and the United States.
This significant global concern reflects an increasing world need for AI-based textile solutions, which can deliver a competitive advantage in terms of performance and sustainability. The fact that the company can attract large-scale orders in developed markets is a testament to the success of its AI-based R&D and manufacturing platform.
As STCH expands its operations, it seeks to expand further into these global markets by providing a more efficient, technology-led alternative to traditional textile manufacturing processes. The STCH is founded on the principle that sustainable fabric production should be the norm and not an exception.
The importance of the AI platform of the startup in this is that it finds the most environmentally friendly options of fibers and manufacturing methods for each particular line. STCH ensures that waste is eliminated in the supply chain by taking optimisation or utilisation of its controlled network, which is a measure to ensure the manufacturing resources are as effectively utilised as possible.
Conclusion
The STCH pre-Series A successful funding round is an important landmark in the Indian healthtech and textile innovation scene. Having raised a capital of $7 million with the support of key investors such as Omnivore and Kae Capital, STCH has all the tools to transform the way fabric is designed and produced on a global scale.
With the combination of deep expertise in manufacturing that the founders have and the AI-first mindset to research and development, STCH is effectively closing the chasm between the established traditions and requirements of the current technology.
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