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~ TVS Next becomes a Snowflake AI Data Cloud Services Partner (Select) to accelerate co-selling and solutioning with Snowflake for manufacturing customers ~
Bengaluru, India—20 January 2026 — Snowflake, the AI Data Cloud company, announced that TVS Next, a digital and AI consulting company, now leverages Snowflake as its data and AI platform for NexOps, an OT/IT intelligence layer that gives manufacturing companies an integrated view of their plant operations data and enterprise data. With Snowflake’s AI Data Cloud, the NexOps platform modernizes data pipelines, strengthens governance controls, and builds scalable AI solutions globally. The integrated data view allows manufacturers to detect inefficiencies, make predictive decisions across factory operations, and accelerate digital transformation at scale.
As a Snowflake customer, TVS Next has enhanced its managed services by leveraging the Snowflake AI Data Cloud, directly addressing the challenge of accessing fragmented and delayed data. Snowflake’s secure, scalable, and unified data platform now enables NexOps to consolidate structured, semi-structured, IoT, and partner data into a single pane, augmented by capabilities like elastic performance and secure sharing. This consistent, governed data foundation streamlines data ingestion and operationalizes AI pipelines. For multi-site manufacturing customers, leveraging NexOps, built on Snowflake, centralises real-time streaming data, consolidates plant insights, and AI processing in a single, centralized location. This approach helps ensure data does not move across systems, leading to faster, more consistent decision-making.
This unified platform empowers TVS Next’s consulting teams to design scalable data and AI architectures, while engineering and AI teams leverage Snowpark Container Services and Snowflake Cortex AI to build governed ML models. Concurrently, the delivery and governance teams at TVS Next ensure a secure and consistent platform experience using Snowflake’s role-based access control (RBAC). This robust foundation has enabled TVS Next to drive multiple high-value manufacturing use cases, helping customers transition from reactive measures to proactive, AI-driven action. Key benefits include automatically capturing downtime, activating insights to significantly improve overall equipment effectiveness (OEE), and enabling predictive maintenance, quality forecasting, multi-plant performance visibility, digital twins, and energy intelligence—all of which deliver measurable improvements in operational efficiency, reliability, and decision-making.
Additionally, internally, data now fuels decisions across the company, unifying their strategy from leadership to customer experience. This reliability and speed have directly accelerated the launch of new offerings like NexOps-powered manufacturing intelligence, global market data hubs, advisory, and forecasting solutions. This expansion of offerings allows TVS Next to innovate faster, scale industry-ready solutions, and deliver measurable results for customers, ultimately expanding their market reach.
Speaking on the collaboration, Vijayant Rai, Managing Director, Snowflake India, said,
“For manufacturers to achieve true competitive advantage, they need more than just tools – they need a scalable, connected AI-ready data foundation. NexOps, built on the Snowflake AI Data Cloud, integrates and standardizes complex data models, enabling predictive insights that are essential to driving business value for a connected value chain in the manufacturing industry. Our partnership with TVS Next is the engine that will empower our joint customers to transition from isolated projects to comprehensive, cross-plant performance visibility, unlock value from AI, and deliver measurable ROI to their leadership teams.”
“For manufacturers to achieve true competitive advantage, they need more than just tools – they need a scalable, connected AI-ready data foundation. NexOps, built on the Snowflake AI Data Cloud, integrates and standardizes complex data models, enabling predictive insights that are essential to driving business value for a connected value chain in the manufacturing industry. Our partnership with TVS Next is the engine that will empower our joint customers to transition from isolated projects to comprehensive, cross-plant performance visibility, unlock value from AI, and deliver measurable ROI to their leadership teams.”
Vinod Krishnan, MD & CEO, TVS Next, added, “By combining the strength of Snowflake’s AI Data Cloud with NexOps and TVS Next’s Inspire Consulting Framework, we’re giving manufacturers the agility, scalability, and intelligence to operate smarter and greener. This partnership is about turning data into action and action into growth”.
Partnering for growth
TVS Next has strengthened its relationship by becoming a Snowflake AI Data Cloud Services Partner (Select) and is planning a go-to-market (GTM) strategy. This integration combines TVS Next’s technical consulting expertise with Snowflake’s data and AI capabilities to drive global digital and AI transformation and expand co-selling in the manufacturing sector.
TVS Next will drive the development of Snowflake-native accelerators for the manufacturing industry, devise joint GTM initiatives to drive business growth, and build connected manufacturing programs for customers. TVS Next, in coordination with Snowflake, will become a key driver of business expansion in the manufacturing sector as both companies work toward building scalable, repeatable solutions that address the complexity of modern factory networks globally.
Looking ahead, TVS Next will continue to leverage Snowflake as their platform of choice in their technology roadmap as manufacturers move from connected operations to intelligent, self-optimizing factories. The companies look forward to exploring use cases that power next-generation interfaces, including conversational assistants for operators and AI-driven decision support for plant leaders. Snowflake’s architecture, coupled with TVS Next’s industry expertise, can help scale these capabilities consistently across lines, plants, and global networks, integrating AI as part of everyday industrial workflows for customers, opening the doors for long-term transformation opportunities across global manufacturing organizations.
