As global supply chains focus on transparency and efficiency, the pre-launch deployment of NodeOps’ CreateOS platform in India’s textile sector shows how accessible AI tools can enhance operational oversight for small and medium-sized enterprises (MSMEs). The 75-day pilot, conducted before the general availability of CreateOS, processed more than 50,000 hours of video data (equivalent to 75 terabytes) across facilities in Maharashtra, Tamil Nadu, Telangana, and Gujarat, transforming existing security cameras into tools for real-time surveillance and compliance.
Officially launched on Product Hunt on February 4, 2026, CreateOS ranked #1 on launch day, enabling hundreds of public projects within days, and provides AI-assisted workflows from ideation to coding, deployment, scaling, and production management. Users build applications through a no-code interface or AI-guided prompts without requiring deep technical expertise. The platform supports optional distributed cloud options for potential cost savings, but users are not required to adopt them, allowing flexibility based on needs and preferences.
In this textile pilot, factory operators used CreateOS to connect CCTV systems to cloud storage and create custom dashboards for production monitoring. As the implementation of this digital monitoring layer matures, subsequent stages will gradually enable automatic detection and alerting of operational anomalies, from unauthorized access and material handling fraud to potential theft events, equipment outages, and line-level failures, moving factories closer to a fully responsive, data-driven operating model.
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“We used NodeOps to store the CCTV recordings of our factory. Even though the site is in a remote location, the backups are stored well. The dashboard built with CreateOS is simple and easy for the team to use,” said Anand, owner of a cotton processing facility in Maharashtra.
“NodeOps has made it easy to manage CCTV footage across all our factory locations. The dashboard built with CreateOS is clean and easy to understand,” added Gautam, who operates five cotton manufacturing facilities in Telangana.
This early use case highlights the NodeOps team’s focus on building real-world impact and extending AI capabilities to non-technical users in traditional industries. By reusing existing infrastructure, CreateOS addresses visibility gaps in manufacturing operations where quality control, compliance, and employee accountability often depend on fragmented records.
The success of this pilot comes amid growing demand for supply chain documentation, especially as India negotiates a trade deal with the EU that requires verifiable evidence of working conditions and processes. This poses a real problem for U.S. manufacturers facing similar challenges. How can an accessible AI platform like CreateOS help small businesses achieve comparable improvements in transparency and decision-making without large up-front investments?
“The key is to solve pressing problems using tools you are familiar with,” said Naman Kabra, CEO of NodeOps. “CreateOS handles the complexity of AI-assisted development end-to-end, so you can focus on what you do: building monitoring dashboards and scaling applications in production.”
Once launched, CreateOS will reach new users, including developers and enterprises around the world, highlighting its potential to bridge the operational divide in global manufacturing. NodeOps prioritizes user-centered design and continues to explore applications across sectors.
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