Develop the Clinical Trial
Protocols of the Future Using AI
Discover the first-in-class AI software reinventing clinical trial protocol development. Protocol AI empowers experts to conduct faster, cheaper and safer trials, paving the way to medical innovation​.
Trial protocol of the future
Launch event of Protocol AI
on April 23rd, 2024
Risklick Technology
Quality by Design
Risklick's transformative technology empowers experts to harness the power of data for their trial protocol development. Protocol AI eases protocol development and ensures consistency, leading to significant time and cost savings. Orchestrate your clinical trial with an optimized protocol, accelerating innovation and the delivery of new treatments to patients.
Benefits
Reduce protocol development time
Evidence-based decision making
Minimize likelihood of amendments
Creation of Evidence-Based Protocols in 3 Steps
01
Explore
Analyze all available historical trial data systematically
02
Select
Define key variables and create benchmarks for your protocol
03
Develop
Develop your protocol efficiently using the customized generative Al
1. Explore
Protocol AI empowers experts to conduct a systematic analysis of global data including historical trial synopsis, protocols, linked publications and regulatory decisions. The 360° view of trial data accelerates decisions-making processes with historical evidence. Harness the power of historical data to develop your state-of-the-art trial protocol.
2. Select
Select the most appropriate parameters for your trial based on evidence. Protocol AI is a co-pilot for all experts involved in protocol development, enabling internal and external teams to collaborate on one platform and use evidence to back their strategic decisions.
3. Develop
Efficiently develop your protocol with our fine-tuned generative AI. Protocol AI seamlessly incorporates your pre-selected parameters, enabling the swift and automated writing of your tailored protocol.
Our Team
Dr. Poorya Amini
CEO
Dr. Quentin Haas
CSO
Philipp Khlebnikov
Data Scientist
Florian Meer
Data Scientist
Mastane Kachloo
Project Manager
Hossein Maaleki
UI/UX Designer
Joel Kuehl
Full Stack Developer
Blagica Bozhinovska
Full Stack Developer
Stefan Cvetanovski
Full Stack Developer
Zillah Clauss
Business Developer
Ivan Jankuloski
DevOps Engineer
Advisory Board
Beat was the Initiator and former leader of the Roche Pharma Clinical Quality Risk Management (C-QRM) project for clinical development and pharmacovigilance for 25 years. Beat led more than 150 clinical trial center audits worldwide.
Partners
