Leveraging our 15+ years of clinical trial experience, we have established an industry-leading data labeling system. By deeply integrating annotation standards from 1,800+ projects with AI technology, we enable intelligent processing of adverse event classification, medical coding, and image annotation tasks.

Unique Advantage: Our labeling services fully comply with FDA/EMA data quality requirements, deliver results within 3-6 months with minimal investment threshold, making it an ideal entry point for rapid data quality enhancement.

Based on 50+ successfully approved NDA/BLA projects, we have built a comprehensive knowledge network covering disease-drug-gene-clinical endpoint relationships. This graph integrates historical trial data, regulatory requirements, and best practices, providing intelligent decision support for protocol design, control group selection, and endpoint prediction.

Competitive Edge: Second-level retrieval capability combined with deep industry insights makes complex clinical decisions evidence-based.

Incorporating professional judgment from 200+ biostatisticians and data management experts into AI systems, continuously optimizing model performance through human feedback. Particularly in areas requiring professional judgment such as Statistical Analysis Plan (SAP) review and data review, achieving optimal human-AI collaboration.

Unique Feature: Continuous iteration based on real projects ensures AI outputs consistently meet the highest industry standards.

Integrating ICH guidelines, FDA Guidance, EMA requirements, and 1,800+ historical trial experience to build a clinical development-specific intelligent Q&A system. Provides instant, accurate support for regulatory consultation, trial documentation preparation, and regulatory requirement interpretation.

Competitive Strength: Combination of massive professional knowledge base with real-time update mechanism ensures information timeliness and accuracy.

End-to-end process automation solutions covering the complete chain from EDC data cleaning, quality checks to TLF generation. Through intelligent orchestration and task scheduling, achieving comprehensive efficiency gains in clinical data processing.

Value Proposition: While requiring longer investment cycles, it delivers 60-80% efficiency improvements, serving as critical infrastructure for digital transformation.

Providing modular, plug-and-play AI function libraries supporting rapid custom clinical decision support tool development. Based on 6 patent technologies and a 50-member AI team's R&D capabilities, offering innovative solutions for specific needs.

Differentiation: Deep understanding of clinical trial business scenarios ensures tool practicality and usability.