We support organizations in the healthcare sector with the analysis and planning of highly sensitive scientific data—ensuring precision, security, and full regulatory compliance.
Request ConsultationOur expertise is grounded in active academic research. Selected peer-reviewed contributions supporting international guidelines and methodological standards:
Relevance: Validation of our proprietary software for automated bias detection in meta-analyses.
Relevance: Development and validation of AI/ML algorithms to support clinical decision-making.
Relevance: Complex Network Meta-Analysis (NMA) supporting major US treatment guidelines.
Relevance: Critical evaluation of "Meaningful Clinical Benefit" scales used in oncology drug approvals.
We don't just advise on technology—we build it. Our internal projects demonstrate our capability to handle complex algorithms and high-stakes data environments.
Automated Evidence Synthesis. An R-package and web tool designed to detect statistical bias in meta-analyses. Validated by the scientific community and published in the Journal of Clinical Epidemiology.
View Tool →High-Stakes Communication AI. A specialized AI system for analyzing communication patterns in critical environments. Developed as part of the INiTS high-tech incubator program.
Visit Project →Contact us for an initial consultation regarding your projects.
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