Our Services
We provide six specialized services spanning medical coding, algorithm validation, AI-ready data annotation, study design, patient profile curation, and advanced trial simulation — all clinician-led and built for regulatory scrutiny.
Medical Coding & Phenotype Definition
Expert medical code lists to define diagnoses, procedures, medications, laboratory tests, histology, and biomarkers for observational studies using healthcare claims, EHR/EMR, and registry data worldwide. Clinically curated, methodologically sound, aligned with regulatory, HTA, and publication standards.
Learn More→Algorithm Development & Validation
We develop and validate claims-based and EHR/EMR-based algorithms to accurately identify medical conditions and health outcomes for pharmacoepidemiology, epidemiology, comparative effectiveness research, HEOR, health outcomes research, drug safety, and pharmacovigilance. Built using clinically grounded logic and rigorous methodological standards ensuring accuracy, reproducibility, and regulatory readiness.
Learn More→Data Labeling & Annotation for AI & RWE
High-quality data labeling and clinical annotation to support AI, Generative AI, and RWE development using healthcare claims, registry, and EHR/EMR data. Enabling accurate model training, validation, and explainability for observational research and advanced analytics.
Learn More→Study Design, Analytics & Scientific Communication
End-to-end consulting and analytical services for RWE, comparative effectiveness research (CER), external control arms (ECA), and observational studies.
Learn More→Patient Profile Curation
High-quality data labeling and clinical annotation for longitudinal patient journeys using healthcare claims, registry, and EHR/EMR data. Supporting AI, GenAI, and RWE development with accurate model training, validation, and explainability.
Learn More→External Control Arms & Digital Twins
Advanced solutions to optimize clinical trials, AI development, and RWE studies through digital twins, synthetic data generation, and meta-analytic approaches. Enabling faster, safer, and more efficient research while maintaining scientific rigor and data privacy.
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