Veridix AI provides AI-driven solutions that automate and modernize clinical trial processes, enhancing data management and patient engagement through advanced analytics and real-world evidence integration. The platform addresses inefficiencies in clinical research by streamlining trial design, monitoring, and data quality, ultimately improving outcomes for biopharma companies and patients.
Funding
Funding not disclosed
Founders
Product
Problem
Clinical trials often suffer from time-consuming manual processes, limited patient engagement, and difficulties in incorporating real-world evidence, leading to inefficiencies in trial design, monitoring, and data management. Managing biological specimen assets and analyzing complex biological datasets also present significant challenges.
Solution
Veridix AI offers an AI-driven technology platform designed to automate and modernize clinical research processes. The platform provides capabilities for technology modernization, data analysis, and AI integration to streamline trial design, feasibility assessments, data management, and monitoring activities. By embedding AI into clinical research workflows, Veridix AI reduces manual processes, expands patient access and diversity, incorporates real-world evidence, and facilitates deeper disease insights. The company's solutions include an eClinical platform, GlobalTrace for biological specimen management, and clinical pipelines for advanced data analysis.
Target Audience
Veridix AI primarily serves biopharmaceutical companies and clinical research organizations (CROs) seeking to modernize and automate their clinical trial processes, improve patient engagement, and leverage real-world evidence.
Features
- Unified eClinical platform supporting electronic data capture (EDC), decentralized clinical trials (DCT), randomization and trial supply management (RTSM), and electronic clinical outcome assessment (eCOA/ePRO)
- AI Agents for biostatistics, data management, and document authoring
- GlobalTrace for centralized oversight and control of biological specimen assets
- Clinical Pipelines for analyzing large, complex biological datasets
- AI-powered capabilities embedded within clinical trial workflows
- Support for various therapeutic areas including vaccines & infectious diseases, ophthalmology, neuroscience, cell & gene therapy, and rare diseases