Digital Continued Process Verification

Experience automatic and effortless process control.

Benefits this Solution Provides


Swift Implementation

Implement continued process verification (CPV) plans for a large number of products using a simple workflow.


CPV Automation

Integrate all your systems for registry, collections, and storage of data.


Always Available

Check process status in real time through monitoring dashboards.


Effortless Reports

Accelerate and automate report generation without human input.


Eliminate Manual and Repetitive Work


  • Accelerate continued process verification (CPV) preparation; prepare it in 30 minutes with six mouse clicks.
  • Trigger an alarm every time a threshold is crossed for a variable or control plot; ensure you always know what is happening.
  • Automatically collect all product and process data throughout the lifecycle.

Remove the Subjectivity of Risk Assessments


  • Perform a risk assessment to easily identify the critical method attributes (CMAs) and the critical method parameters (CMPs).
  • Verify the consistency of the criticality assessments.
  • Evaluate the performance of the control strategy with real-time data evidence.
  • Migrate statistical data to support risk assessments.


Integrate CPV with the QbD Concept


  • Support the adoption of systematic approaches to quality risk assessment
  • Ensure that processes are in a state of control in real time.
  • Acquire and communicate knowledge for fact-based decision-making.

What Can You Expect From Implementing Our Solution?

Before After
Research often conducted one variable at a time. Systematic — relates the mechanistic understanding of material attributes and process parameters to drug product (CQA).
Based on an initial full-scale batch; focused on optimization and reproducibility. Adjusted continuously; more robust and allows for the creation of control strategies.
In-process tests primarily for go/no-go decisions. PAT tools are utilized with appropriate feedforward and feedback controls to optimize product performance using supportive, relevant real-time data.
Based on the batch data available at the time of registration. Based on the desired product performance with relevant supportive data.
Drug product quality is controlled by intermediate- and end-product testing. Drug product is ensured by a risk-based control strategy for well-understood product and processess.
Reactive (no alarms). Preventive action (with alarms).

Learn More From Our Experts

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Blog Post

Emerging Technology

Harnessing the Power of Machine Learning for R&D in Drug Discovery

Read the Blog Post

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Industry Insight

Digital CPV for Continuous Manufacturing

Read the Article

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A Roadmap to Digitalize Your Control Strategy


See how ValGenesis can support your digital transformation.