How quickly can the first studies be conducted using this solution?

Start with a clearly defined use case, such as trial matching for a specific study. Initial production scenarios can be implemented quickly without disrupting existing processes. This allows you to achieve measurable improvements in recruitment even in the early phases. The platform can then be expanded step by step.

How are data protection and ethical requirements addressed?

Data processing takes place in German data centers under a clear legal framework. Data remains controllable and traceable at all times. Access rights can be specifically controlled and documented. This facilitates coordination with hospitals and ethics committees and builds trust among all stakeholders.

Do existing analytics solutions need to be replaced?

You can continue to use and integrate existing solutions. Build new features on top of them without replacing existing systems. This creates a flexible target architecture that adapts to your existing structures. At the same time, you can gradually add new analytical methods and AI models.

AI-Powered Clinical Trial Acceleration

Accelerate your clinical trials through automated recruitment and data analysis using AI—on STACKIT, hosted on a secure European cloud infrastructure.

Talk to our healthcare experts.

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Challenge: Time-to-Market Under Pressure

Clinical trials face significant time and cost pressures. Delays have a direct impact on the market launch and cost-effectiveness of new therapies.

Time-to-Market Risk

Delays in critical study pathways can push back market entry and exclusivity windows—with significant economic implications.

Recruitment bottleneck

Suitable participants are often identified too late or only partially meet the study criteria. This delays the start of the study and significantly prolongs the recruitment phase.

Data silos in research

Clinical data, omics data, and real-world evidence are stored in different systems and formats. Without integration, these data can only be analyzed together to a limited extent.

Measurable Value: Several Months Saved in the Trial

AI-powered processes accelerate key workflows and significantly shorten the recruitment phase. This saves you time, reduces costs, and increases planning certainty throughout the entire trial process.

Significantly Faster Recruitment: Shorten the recruitment period by several months, as suitable participants can be identified and approached more quickly.
Higher recruitment success rate: Improve the likelihood of success by selecting participants more precisely and tailoring study populations more effectively to the study’s requirements.
Efficient use of resources: Utilize computing power as needed for your analyses and simulations without having to maintain your own infrastructure.
Greater acceptance from partners: Facilitate approvals from hospitals and ethics committees, as data storage in Europe builds trust.

Solution: Unified data platform with AI-based trial matching

A central data platform brings together clinical data, omics data, and study information within a unified structure, thereby laying the foundation for reliable analyses. Building on this, AI algorithms automatically match patient profiles against the study’s inclusion and exclusion criteria. The AI identifies suitable participants more quickly and selects them specifically, significantly accelerating recruitment. At the same time, a secure data room enables collaboration with hospitals and research partners without losing control over sensitive data. Analyses can be conducted across multiple locations while responsibilities remain clearly defined. The required computing power is provided flexibly and can be scaled as needed. This keeps costs manageable without requiring you to build your own infrastructure.

Competitive Advantage: Faster Trials, Secure Cloud

The combination of a data platform and a sovereign cloud accelerates study processes and builds trust with your partners. At the same time, it establishes stable frameworks for the use of sensitive data.