As world provide chains emphasize transparency and effectivity, a pre-launch deployment of NodeOps’ CreateOS platform in India’s textile sector illustrates how accessible AI instruments can improve operational oversight for small and medium-sized enterprises (MSMEs). This 75-day pilot, performed earlier than CreateOS’s public debut, processed over 50,000 hours of video information—equal to 75 terabytes—throughout amenities in Maharashtra, Tamil Nadu, Telangana, and Gujarat, changing current safety cameras into instruments for real-time monitoring and compliance.
CreateOS, which formally launched on Product Hunt on February 4, 2026, attaining the #1 rating on launch day and enabling a whole bunch of public initiatives inside days, gives an AI-assisted workflow from concept creation to coding, deployment, scaling, and manufacturing administration. Customers construct purposes by means of no-code interfaces or AI-guided prompts, without having deep technical experience. Whereas the platform helps optionally available decentralized cloud choices for potential price financial savings, it doesn’t require customers to undertake them—permitting flexibility primarily based on wants and preferences.
On this textile pilot, manufacturing unit operators used CreateOS to attach CCTV programs to cloud storage, creating customized dashboards for manufacturing oversight. As adoption of this digital surveillance layer matures, the following section will progressively allow automated detection and alerting of operational anomalies—starting from unauthorized entry and materials dealing with irregularities to potential theft occasions, gear stoppages, and line-level malfunctions—bringing factories nearer to a totally responsive, data-driven working mannequin.
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“We used NodeOps to retailer CCTV recordings from our manufacturing unit. Despite the fact that the positioning is in a distant space, the backups are getting saved correctly. The dashboard constructed with CreateOS is easy and straightforward for our group to make use of,” stated Anand, proprietor of a cotton processing facility in Maharashtra.
“NodeOps has made it simpler for us to handle CCTV footage throughout our manufacturing unit areas. The dashboard constructed with CreateOS is clear and easy,” added Gautam, who operates 5 cotton manufacturing amenities in Telangana.
This early use case underscores the NodeOps group’s deal with constructing for real-world impression, extending AI capabilities to non-technical customers in conventional industries. By repurposing current infrastructure, CreateOS addresses visibility gaps in shop-floor operations, the place high quality management, compliance, and employee accountability have usually relied on fragmented information.
The pilot’s success comes amid rising calls for for supply-chain documentation, notably as India negotiates commerce agreements with the EU that require verifiable proof of working circumstances and processes. For U.S. producers going through related challenges, it raises a sensible query: How can accessible AI platforms like CreateOS assist small operations obtain comparable positive factors in transparency and decision-making with out vital upfront investments?
“What issues is fixing rapid issues with acquainted instruments,” stated Naman Kabra, CEO of NodeOps. “CreateOS handles the complexity of AI-assisted growth end-to-end, so customers can deal with their operations—whether or not that’s constructing a monitoring dashboard or scaling an utility in manufacturing.”
As CreateOS reaches new audiences post-launch, together with builders and companies worldwide, this MSME deployment highlights its potential to bridge operational divides in world manufacturing. NodeOps continues to discover purposes throughout sectors, prioritizing user-centric design.
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