For India's auto component leaders, scaling digital innovation from a single pilot to profitable, enterprise-wide production is the primary challenge. Litmus provides the essential data foundation to solve this. Join us in Chennai to see how we help manufacturers simplify OT data access, standardize data from every machine, and scale Industry 4.0 initiatives to improve OEE, quality, and global competitiveness.

As Indian manufacturers push from automation to autonomy, industrial data still sits locked away across disconnected machines, PLCs, and historians. Litmus shows how leading enterprises are unifying OT data and scaling AI-driven operations across the plant floor. With both a thought-leadership session and an executive roundtable, the team will discuss scaling digital transformation across real-world industrial operations.

Join industrial leaders responsible for moving smart manufacturing from strategy to execution across plants, systems, and teams. Meet the Litmus team and see how they help manufacturers shorten time-to-value for digital and automation initiatives by unifying OT and IT data without disruption.

Improve frontline productivity with connected, data-driven workflows. In partnership with Litmus, see how industrial data from machines, historians, and OT systems is made available to Tulip’s no-code applications.

ScaleUp AI, is an exclusive hybrid event bringing together AI builders, executives, investors, and industry leaders for curated conversations on the future of enterprise AI. Meet with Vatsal and John to discover how Litmus helps manufacturers leverage industrial data to power AI-ready operations.

Litmus joins Tulip’s first European Operations Calling to show how industrial data from machines, historians, and OT systems reaches Tulip’s no-code frontline applications — without custom integrations or added IT overhead.

Europe's highlight event for smart and digital automation returns to Nuremberg with more than 1,000 exhibitors. Meet the Litmus team to see how manufacturers unify OT data from machines, PLCs, and historians, and make it available to the systems and AI models that depend on it — without disrupting production.