
idaptiq
idaptiq is an AI-driven platform that automates the end-to-end clinical trial biostatistics lifecycle, from statistical analysis plans (SAP) through SDTM and ADaM datasets to tables, figures, and listings (TLFs). The platform reduces roughly 1,000+ hours of manual work per study by intelligently linking upstream and downstream deliverables, enabling faster and more consistent data analysis for clinical research teams.
- Artificial Intelligence
- Biotechnology
- Drug Discovery & Therapeutics
- Healthcare Technology
- Software Only
Funding
Founders
Product
Problem
Clinical trial biostatistics is a highly manual, document-heavy process involving the production of statistical analysis plans (SAP), standardized datasets (SDTM, ADaM), and tables, figures, and listings (TLFs). Connecting these deliverables across a trial’s lifecycle requires repetitive work, extensive coordination, and significant time investment, which delays analysis and introduces consistency risks.
Solution
idaptiq provides an AI-connected platform designed to automate the full biostatistics lifecycle for clinical trials. The platform organizes and links deliverables from the SAP through SDTM and ADaM dataset creation to the generation of TLFs, using intelligence to reduce manual effort by approximately 1,000+ hours per study. It connects upstream and downstream components, ensuring that changes and updates propagate efficiently across documents and outputs. The platform targets the core analytical workflow so biostatisticians and data scientists can focus on interpretation rather than repetitive data handling and document management.
Target Audience
The primary customers are biostatisticians, clinical data scientists, and clinical research organizations (CROs) and pharmaceutical companies that manage the biostatistics and reporting workflows for clinical trials.
Features
- End-to-end automation of SAP, SDTM, ADaM, and TLF production within a single platform
- AI-driven linkage between upstream study documents and downstream analytical outputs for consistency
- Reduction of approximately 1,000+ hours of manual biostatistics work per clinical trial
- Workflow designed specifically for clinical data standards and regulatory expectations