What challenges did Cyntegrity face before AI implementation?

High data volume from multiple, incompatible systems impacting scalability. Data quality issues in clinical trial data such as incompleteness and inconsistency. Manual IT management led to limited capacity, slow onboarding, and high operational costs. Difficulty meeting stringent regulatory and data residency requirements for sensitive patient data. Need for operational transparency and auditability across internal teams.

What was the impact of the AI solution?

Achieved 99.9% system uptime. Reduced IT costs by 90%. Enabled simultaneous processing of up to 250+ clinical studies per client. Streamlined compliance with regulatory, audit, and data residency standards. Improved flexibility and international deployment capacity.

Source

Microsoft

Cyntegrity streamlines risk-based quality management in clinical trials

Use case typeRisk assessmentUpdated Jun 13, 2026

Cyntegrity, a German technology firm, has enhanced risk-based quality management for pharmaceutical clinical trials through strategic use of Microsoft Azure cloud technologies. Faced with challenges stemming from large, disparate, and error-prone data sources, Cyntegrity implemented a cloud-native solution to harmonize, analyze, and safeguard sensitive trial data. Their software-as-a-service (SaaS) platform, MyRBQM Portal, now integrates multiple Azure services for scalable, secure, and compliant trial data processing. The migration delivered high system availability, improved scalability, dramatically reduced IT costs, and allowed the company to expand internationally while maintaining strict regulatory compliance. Azure App Service, Azure Functions, Azure Active Directory, and Microsoft Defender for Cloud underpin the new technical architecture. Resource pools are configured per study, with data residency features ensuring privacy for each region. The scalable architecture enables the simultaneous processing of hundreds of trials, offers proactive risk anomaly detection, and ensures customers are alerted early to quality issues. The platform anonymizes sensitive data, automates risk monitoring, and provides user-facing dashboards for operational transparency. This structure gives pharmaceutical and biotech clients a reliable, compliant, and cost-effective solution for global study management, reducing manual IT overhead and error risk. Cyntegrity reports 99.9% uptime and the flexibility to handle rapid customer growth and increasing study loads. Operational transparency is further enabled by integrating Azure DevOps into the full lifecycle across customer support, change management, and quality assurance, aligning with evolving market and regulatory requirements. The MyRBQM Portal's first innovation is self-service resource configuration and near real-time performance insight for trial sponsors. Ultimately, the solution positions Cyntegrity to further leverage AI and analytics in the future, fostering faster drug development by enabling high-quality, compliant, and agile clinical research management.

Organization: Cyntegrity
Industry: Pharma
Location: Germany

Reported outcomes

99.9%

timeTime & speed

−90%cost

Strategic outcomes

Risk & complianceStreamlined regulatory and data residency complianceScale & capacityEnabled concurrent processing of hundreds of studiesCost efficiencyDramatically reduced IT operating costsMarket & geographic expansionImproved international deployment capacity

Catalog median for time & speed deployments: +80% across 203 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 3

1Automated, scalable risk-based quality management for pharmaceutical clinical trials
2Cloud-native harmonization and anomaly detection for trial data
3Self-service resource configuration for clinical study sponsors

High data volume from multiple, incompatible systems impacting scalability.
Data quality issues in clinical trial data such as incompleteness and inconsistency.
Manual IT management led to limited capacity, slow onboarding, and high operational costs.
Difficulty meeting stringent regulatory and data residency requirements for sensitive patient data.
Need for operational transparency and auditability across internal teams.

Migration of SaaS risk management platform to Azure cloud environment.
Implementation of Azure App Service for scalable application hosting.
Use of Azure Functions for workload isolation and configuring parallel studies.
Utilizing Azure Active Directory and Defender for Cloud for enhanced security, management, and compliance.
Integration of Azure DevOps to streamline operations and lifecycle management.

Technologies

Microsoft Azure Azure App Service Azure Functions Azure Active Directory Microsoft Defender for Cloud Azure DevOps

Achieved 99.9% system uptime.
Reduced IT costs by 90%.
Enabled simultaneous processing of up to 250+ clinical studies per client.
Streamlined compliance with regulatory, audit, and data residency standards.
Improved flexibility and international deployment capacity.

Architecture

The MyRBQM SaaS risk management platform is hosted using Azure App Service with deployment and lifecycle managed via Azure DevOps. Resource pools for each study are configured using Azure Functions, supporting scale-out for parallel studies. Azure Active Directory manages access and system changes, providing traceability. Microsoft Defender for Cloud, Azure Front Door, and Virtual Network layers secure data and ensure compliance with regional data residency. Customer-facing dashboards report real-time risk and system health.

Sources & evidence1

Groundedness: Unavailable

Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

Explore related AI use cases

Customer evidence