saved by eliminating redundant work
person-hours of manual effort eliminated
manufacturing visibility and predictive insights enabled
A global biopharma leader specializing in oncology, rare diseases, and plasma therapies needed to improve visibility and efficiency across its manufacturing network. Data was fragmented across 31 sites, 129 contract manufacturing organizations, and 14 brands, limiting end-to-end operational insights.
Altimetrik developed a Predictive Insights Center that unified manufacturing and quality data, standardized performance monitoring, and automated critical workflows. The platform reduced manual effort, generated significant savings, and enabled faster, data-driven decisions across global production operations.
The client lacked unified visibility across its global manufacturing network. Disconnected manufacturing and quality systems created data silos and made it difficult to monitor performance consistently.
Manual and inconsistent processes slowed batch release, increased redundant work, and limited collaboration across internal sites and partner CMOs. The organization needed a scalable platform that could standardize insights and workflows across multiple production environments.
Limited manufacturing visibility affected production efficiency, batch-release timelines, and the organization’s ability to identify operational risks early.
Without standardized KPIs and connected workflows, teams spent significant time collecting, validating, and interpreting data. This delayed decisions and increased costs across global manufacturing operations.
Altimetrik designed and implemented a Predictive Insights Center for smart manufacturing, creating a scalable foundation for operational intelligence.
The platform unified information from Manufacturing Execution Systems, Laboratory Information Management Systems, desktop applications, and other sources. Integrated cross-silo views provided end-to-end visibility across manufacturing and quality operations.
Clustered KPI models standardized performance monitoring and enabled predictable comparisons across manufacturing sites. A highly automated, intuitive interface simplified data-aware workflows and improved collaboration between operational teams.
Pattern-driven standardization allowed the solution to scale rapidly across sites while accommodating local processes. Predictive analytics enabled teams to identify trends, anticipate risks, and make faster production decisions.
The platform was supported by data engineering, analytics and AI, DevOps, product engineering, and GxP-compliant information security capabilities.
Saved more than $10 million by eliminating redundant activities across manufacturing operations.
Eliminated over 30,000 person-hours of manual work through automated dashboards and workflows.
Enabled real-time visibility and predictive analysis to support faster, better-informed production decisions.
Established consistent KPIs and scalable workflows across sites, brands, and partner CMOs.
Altimetrik combined life sciences expertise, data engineering, and AI to deliver scalable, GxP-aligned manufacturing intelligence.
“Amit Singh is the Chief Strategy Officer and Chief of Staff to the CEO at Altimetrik, where he drives corporate strategy, growth acceleration, and value creation through transformation initiatives. In this dual role, he partners closely with leadership teams, investors, and the board to align business strategy with sustained, technology-driven growth.
With over two decades of experience at the intersection of technology, business, and transformation, Amit brings a unique perspective on how organizations can innovate and adapt in a rapidly evolving digital landscape. His career has been defined by building high-performing teams, scaling innovative platforms, and driving organizational change to deliver lasting impact.
Before joining Altimetrik, Amit held senior leadership roles at Visa, where he led technology strategy, engineering, and product development for Real-Time Payments and the Visa Developer Platform. Earlier, he served as Chief Product Officer at a startup and spent more than a decade at Oracle, leading product and engineering teams across a wide range of enterprise software applications.”
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