How the world’s leading pharma manufacturers use Seeq

From the first regulatory filing to every batch released, pharma and life sciences teams run their most critical quality and operational decisions on Seeq — turning time-series, batch and quality data into faster, GMP-grade decisions.

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Transforming Asset Qualification Monitoring at Lilly

Using Seeq Vantage and AI, Lilly built a system that monitors qualified equipment across sites, flagging only exceptions rather than flooding teams with routine data and automatically generating routine reports for submission to the regulatory bodies. This shift empowers engineers to focus on real risks while maintaining a state of control—faster, smarter, and with fewer compliance headaches.

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Built for the operational complexities and compliance realities of Pharma

Pharmaceutical manufacturers sit on vast amounts of under-leveraged time-series, batch and quality data. Seeq turns that data into live, reusable evidence that processes are in control and product quality risk is managed, with real-time connectivity, self-service exploration, predictive modeling, monitoring and automated reporting, all while upholding data integrity in GMP environments.

Across the drug lifecycle, teams use Seeq in four connected ways. Each pillar below maps to the outcomes pharma cares about most: getting products to market faster, running more efficiently, staying continuously compliant, and keeping equipment and facilities reliable.

Revolutionizing BioPharma Manufacturing

Seeq’s industrial AI and analytics transform pharmaceutical manufacturing processes by enabling data-driven decisions that optimize production, prevent quality deviations, reduce variability and enhance compliance with regulatory standards.

Smarter Data, Better Outcomes

Understand Processes and Operations

Identify process parameters and facilitate faster, more efficient technology transfers

Ensure Consistent Quality

Monitor processes in near real-time, automate batch reporting and analysis, and increase the efficiency of continuous process verification

Maximize Production Throughput

Leverage Seeq pharmaceutical analytics software with continuous improvement analysis to reduce downtime, maximize yields, and improve batch to batch consistency with golden batch monitoring

Improve Facility and Asset Reliability

Reduce downtime, decrease maintenance costs, predict failures before they occur, and verify asset qualification state

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Sanofi Improves Operational Efficiency with Seeq

By implementing Seeq, Sanofi has significantly improved its operational efficiency and achieved substantial cost savings. In one notable use case, Seeq helped Sanofi reduce a potential $3-5 million loss per batch from 10 batches to six by resolving an issue in just two days instead of two months. Overall, Seeq transformed Sanofi’s approach, simplifying complex processes and enabling more informed decision-making

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Scale Throughput and Reduce Risk with Seeq

R&D Process Optimization with Advanced Pharmaceutical Analytics Software

Accelerate the path from development to reliable commercial supply. Teams use Seeq to build deep process understanding, “fingerprint” a process so a good batch can be recognised and reproduced, and de-risk technology transfer — aligning lab, pilot and full-scale runs to scale up with fewer surprises.

What teams do with Seeq:

Process understanding and optimization
Process “fingerprinting”
Technology transfer from lab to full-scale production
Outcomes: Fewer engineering batches · Faster time to market

Proof point: Up to ~10% yield improvement (Lonza, public case study). At a top-20 pharma organization, up to 30% fewer engineering batches and 75% fewer quality events in early commercial batches.

Operational Control and Efficiency

Move from retrospective to real-time, portfolio-level operational insight. Teams monitor processes as they run — from the shop floor to management dashboards — and benchmark live batch performance against a “golden” reference, actively managing product quality risk and exposing the hidden 5–15% of recoverable capacity already sitting in existing assets.

What teams do with Seeq:

-Real-time process monitoring to prevent quality deviations
-Real-time operational efficiency monitoring
-Batch performance: current vs. “golden”
-Real-time OEE

Outcomes: Fewer quality deviations · Increased throughput · Better capacity utilization · Cost control

Proof point: 5–15% of recoverable capacity sits in existing assets; one process saw a 22% throughput gain (Lonza), and asset monitoring enabled +500,000 units/year with downtime down 25% (Eli Lilly). Several originators and CDMOs report over 50% reduction of quality deviations.

“Automated,” Paperless Compliance

Make compliance an always-on process rather than a periodic exercise. Teams use Seeq to investigate and document deviations, augment batch reporting, and enable batch release by exception, operationalising modern process monitoring Continuous Process Verification, (CPV/OPV) and Asset Qualification Monitoring by exception, so experts review only true exceptions instead of drowning in routine data.

What teams do with Seeq:

-Deviations investigation and documentation
-Batch reporting
-Batch release by exception
-“Always-on” Continuous Process Verification (CPV/OPV) and Asset Qualification Monitoring

Outcomes: Faster batch release · Audit readiness · Cross-site consistency and reduced risk

Proof point: Up to 95% less CPV reporting time. Sanofi avoided a potential $3–5M loss per batch and cut issue resolution from two months to two days, and Teva has publicly presented a 99% reduction in deviation-investigation time.

Equipment and Facilities Management

Keep the assets and controlled environments that underpin GMP production reliable and available. Teams use Seeq for asset reliability, condition-based and predictive maintenance, and monitoring of cleanrooms and sterile environments — detecting degradation before it causes downtime, impacting processes; and aligning maintenance with actual asset condition.

What teams do with Seeq:

-Assets health monitoring and management
-Condition-based and/or predictive maintenance
-Cleanroom / sterile environment monitoring

Outcomes: Increased equipment availability · Increased production capacity

Proof point: At a large-molecule manufacturer, Seeq has delivered approximately 30% less annualised downtime and 40% faster investigations.