Optimize pharma production with AI-powered root cause analysis

Stop struggling to get ahead with only persistence and Excel sheets. Refine your processes faster with GMP compliant eBR, real-time process monitoring and predictive AI modeling. Aizon is the only production historian & predictive AI designed to optimize pharma manufacturing. Whether you're stuck in paper processes or ready for insights, start now and begin optimizing your production processes.

Visibility

Access contextualized, unified data across all your teams in real-time

Confidence

Predict outcomes and eliminate the guesswork in process improvements

Resiliency

Protect your processes from excursions and deviations

Compliance

Automatically manage all your data in a GMP-compliant platform

The Aizon platform provides

Real-time and historical multivariate data analysis

Perform better and faster batch investigation with root cause analysis software.

Dynamic predictions

Foresee everything from optimal setpoints within established ranges to the efficacy of process changes.

Streamlined production

Discover the most effective way to make drug products available to deserving patients.

Accelerated processes, less stress Refined process execution, better quality control Increased efficiencies, reduced costs, easier audits

Case study

Predictive pooling: Global biotech company reduces risk in downstream purification

With the Aizon platform, pooling time reduced by 93%. What could take a full day or more to pull data together and decide how to combine the bags now takes minutes. It is also less effort for other groups like quality to sign off because of the higher confidence in the pooling strategies for campaign batches.

Case study

CPV-enabled refinement of biotechnological manufacturing recipe

Aizon used production data to develop a series of AI models that learned the relationship between critical process parameters and critical quality attributes to identify the ideal conditions for producing optimal batches. This enabled a multivariate outlier detection algorithm to identify the risk of low-quality batches before the process had finished.

Case study

Global Pharma company significantly improves yield

7,300+ employees
European-leading pharmaceutical manufacturer
Improved yield, competitive prices

“We’re in very difficult situation when it comes to the prices of our products and worked with Aizon to optimize our costs. … We achieved the target which was 2% of improvement. Maybe it doesn't sound like a lot, but it was significant enough to prove Aizon’s value for us. And for other products, that 2% could give us many more benefits.”

Head of Project Management

Ready to get started?

Aizon engineers are ready to meet you where you're at with AI-powered data and process optimization tailored to your needs. Reach out now to optimize your processes with root cause analysis for pharma.