Sustainable efficiency with digital Life Science solutions
Discover smarter automation and energy technology for reliable, compliant Life Science manufacturing operations.

Build the future of Life Sciences with EcoStruxure™ - smart, efficient, and compliant solutions for operations.
Sustainable efficiency in Life Sciences
Decoding digital transformation
Unlock potential with digital transformation and solutions experts, worldwide.
Open, software-defined automation
Enable hardware-agnostic apps and portability with minimal engineering effort.
Maximize production operations
Optimize production and assets using industry software for reporting and analysis.
Discover the Valpharma story
Sustainable efficiency in Life Sciences
Decoding digital transformation
Unlock potential with digital transformation and solutions experts, worldwide.
Open, software-defined automation
Enable hardware-agnostic apps and portability with minimal engineering effort.
Maximize production operations
Optimize production and assets using industry software for reporting and analysis.
Discover the Valpharma story
Smarter control and automation for the Life Sciences industry. Boost productivity, improve safety, and embrace sustainability. Start your transformation today.
Our experts partner with you to accelerate operational efficiency, strengthen supply chain resilience, and embed sustainability into your core operations. The result is a clear path to reduced costs, mitigated risk, and a stronger competitive edge, ensuring your manufacturing operations are a driver of profitability and future growth.

Discover how our Life Sciences solutions drive efficient, sustainable industrial growth. Explore customer success stories.

UCB Farchim – Swiss biopharmaceutical company
Discover how UCB Farchim ensures reliable power to protect critical pharma production and maintain uninterrupted operations.
Sanofi – French biopharmaceutical company
Learn how Sanofi boosted OEE by 30% and cut engineering time by 15% with Foxboro’s stable, integrated control system.
Johnson & Johnson - American pharmaceutical company
Find out how Johnson & Johnson cuts carbon emissions by 25% through digital transformation with Schneider Electric.
Genentech – American pharmaceutical company
Uncover how Genentech achieved major efficiency gains by retrofitting its first large-scale manufacturing facility.
GSK – British biopharmaceutical company
See how GSK partners with Schneider Electric to decarbonize its supply chain and drive pharma sustainability.
Boston Scientific - American medical company
Explore how Boston Scientific improves energy efficiency and facility operations with Schneider Electric’s smart solutions.Discover solutions for the digital transformation of the pharmaceutical industry. Achieve agility, resilience, and smarter decision-making through real-time data and advanced automation. Pharma 4.0 starts here.


Why digital continuity is now a boardroom issue for pharma
Pharma leaders must adopt a digital-first, lifecycle approach to connect data, improve compliance, and scale innovation across operations.
AI data centers transforming Life Science
Discover how EcoStruxure Pod Data Centers accelerate AI deployment with modular, scalable architecture, cutting build timelines..webp)
Transforming big pharma with AI solutions
Dive deep into big pharma industry challenges and gain expert insights from Schneider Electric and AVEVA™ for smarter decisions.
Building sustainable Life Sciences facilities
Explore tech-driven ways to build efficient facilities that boost sustainability, ensure compliance, and meet green goals.
UPS for Life Sciences applications
Learn how Life Sciences Critical Loads Reference Architecture secures crucial power facilities for your operations.
AVEVA PI System for Pharma 4.0
See how AVEVA PI System solves Life Sciences challenges with real-time insights to cut costs and transform supply chains.Read this industrial AI in CPG white paper to learn where AI is already delivering real value. It shares fresh data on ROI today and what manufacturers expect by 2030. It breaks down what needs to be in place to scale AI with confidence.

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