From data to knowledge to transformation
Move from complexity to simplicity, from asset and process intelligence to operational intelligence with the PI System. Its highly scalable, open data infrastructure empowers enterprises in real time, transforming operational data into actionable knowledge and business transformation.



San Leandro Tech Campus, 1600 Alvarado Street

San Leandro, CA 94577


Phone: 510-297-5800


  • LEO Pharma Shares Production Data Across Europe With The PI System

    Poul Waagner Nielsen of LEO Pharma describes using the PI System as a central warehouse of production data for the people and manufacturing systems in their six factories spread across Europe.

  • Why The PI System Is Part Of Biomarin's Cloud Strategy

    Craig Taylor of Biomarin explains that putting PI System data in the cloud allows him to do higher level analytics that helps him optimize their manufacturing processes. They also rely on PI for data validation, health authority reporting requirements, and for its tremendous troubleshooting capability that was "a completely unexpected benefit."


It is important to consider solutions that could help your process development experts share their observations and collaborate on how to prevent issues later during the critical ― and more expensive ― stages of manufacture.

How can you ensure the data integrity required for quality and regulatory compliance when working with a CDMO?

In streamlining its batch review process, BioMarin reduced burdens on both its quality assurance and engineering teams while simultaneously speeding its products’ time to market.

As the pharmaceutical industry strives to make a digital transformation through connected data, companies must figure out how to effectively use and share their insight with other stakeholders across their network.

The transformation to Pharma 4.0 comes through small steps that are all business oriented and driven but merge together over time through a technical platform that uses data to connect people and resources.

The operational data at the Pfizer Small Molecule Division was siloed and only available within the physical building, increasing manual work, hindering collaboration, and creating data latency issues.

A holistic data infrastructure removes the barriers of finding, capturing, converting and organizing operational data, enabling operators and engineers to model enterprise-wide operational intelligence while reducing complexity and cost. Once this holistic data infrastructure is implemented within an organization, it becomes a foundation for building four pillars of a successful and stress-free pharmaceutical manufacturing operation.

Big data covers every facet of our working life. Every aspect of pharmaceutical research and development involves the generation of huge quantities of data, with the expectation that we can turn this information rapidly into useful knowledge, which in turn can be used to make ‘data-driven’ decisions to better understand and control processes. This derived knowledge can also be used to reduce costs, improve efficiencies, reduce development times and facilitate rapid post-approval changes.