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Riyadh, Saudi Arabia
O3Sigma has been featured by Snowflake for using AI to improve factory performance and generate new revenue. Deployed in more than 40 factories, the platform has delivered up to 30% OEE improvement and significant cost savings. The Snowflake partnership is helping O3Sigma scale its industrial AI platform globally.

Riyadh, Saudi Arabia — O3Sigma, a next-generation smart factory and industrial AI platform, has been featured by Snowflake in a global customer success story highlighting how its composite AI models are helping manufacturers increase efficiency, reduce waste, and unlock new revenue streams.
The case study showcases how O3Sigma leverages Snowflake’s AI Data Cloud to build and deploy contextual industrial foundation models across factories worldwide. The platform is already implemented in more than 40 manufacturing sites, enabling real-time insights, predictive optimization, and measurable financial impact.
According to the Snowflake feature, O3Sigma has delivered tangible results for manufacturers, including:
O3Sigma’s mission is to create the first commercially viable industrial foundation model capable of understanding entire factory ecosystems rather than isolated machines or processes.
Manufacturing environments often contain thousands of machines and parameters, making manual optimization nearly impossible. O3Sigma addresses this challenge by combining semantic data modeling with composite AI techniques to deliver predictive and prescriptive recommendations in natural language.
“Our aim is to deliver the first commercially available industrial foundation model,” said Tarik Taman, General Manager at O3Sigma. “Partnering with Snowflake gives us the data, AI capabilities, and global reach needed to bring this vision to life.”
Using Snowflake’s AI Data Cloud, O3Sigma centralized manufacturing data from multiple sources into a single environment. The platform integrates:
This architecture enables O3Sigma to ingest hundreds of parameters from thousands of machines and generate actionable recommendations that operators can apply immediately.
In one example, the system identified a small motor adjustment that increased printing speed by 15%, resulting in tens of thousands of dollars in additional revenue for the customer.
By building a native application on Snowflake and publishing it on the Snowflake Marketplace, O3Sigma is expanding its reach to a global manufacturing audience.
“Snowflake is more than a technology partner; it has amplified our brand and helped us reach new customers worldwide,” said Taman. “Our story is closely aligned with the Snowflake story.”
O3Sigma’s long-term vision is to enable autonomous, AI-driven factories that operate with minimal human intervention. The company also aims to reduce the environmental impact of manufacturing, which currently accounts for a significant share of global emissions.
By combining semantic data models, composite AI, and industrial connectivity, O3Sigma is helping manufacturers improve productivity while moving toward more sustainable operations.
O3Sigma is a smart factory platform that combines industrial data, semantic modeling, and composite AI to optimize manufacturing operations. Developed from decades of real-world manufacturing experience, the platform enables factories to improve efficiency, reduce waste, and unlock new revenue opportunities through intelligent automation and predictive insights. O3Sigma is deployed across multiple industries and continues to expand globally through partnerships and its presence on the Snowflake Marketplace.