EVID AI: The Structured Data Extraction Engine Behind Faster Regulatory Decisions

Overview: How EVID AI's AI-Driven Evidence and Regulatory Platform Transforms Literature Review and Compliance

EVID AI is an AI-powered evidence intelligence platform designed to accelerate literature review and structured data extraction for regulatory and clinical evidence teams in life sciences. Built to address the growing volume and complexity of scientific publications, regulatory documents, and real-world evidence sources, the platform automates the time-intensive process of screening, extracting, and organizing evidence into structured, analysis-ready formats that support regulatory submissions, systematic reviews, and clinical decision-making.

The platform uses natural language processing and machine learning models trained on biomedical and regulatory content to identify relevant studies, extract key data points—including study design, endpoints, safety signals, and efficacy outcomes—and populate structured evidence tables that traditionally require weeks of manual curation by medical writers and regulatory scientists. By transforming unstructured literature and clinical documents into standardised, queryable datasets, EVID AI enables evidence synthesis teams to move from literature search to actionable insights in a fraction of the time, reducing the manual burden of data extraction while maintaining the rigour and traceability required for regulatory-grade evidence packages.

For regulatory affairs, medical information, and pharmacovigilance teams, this translates into faster preparation of literature reviews for regulatory submissions, accelerated signal detection workflows, and more efficient responses to health authority queries. Clinical research teams benefit from streamlined systematic review processes and the ability to rapidly update evidence bases as new publications emerge, improving the speed and quality of evidence-based decision-making across the product lifecycle. By centralising evidence extraction and enabling cross-functional access to structured literature data, EVID AI helps life sciences organisations scale their evidence operations without proportionally scaling headcount, addressing a critical bottleneck as regulatory expectations for comprehensive, up-to-date evidence continue to intensify.

Last checked on May 18, 2026: Tool remains active under Genesis Research ownership (acquired 2021); no major feature updates publicly announced in past 12 months; platform continues AI-powered evidence synthesis for biopharma clients via service model.

What is EVID AI?

EVID AI is an AI-powered evidence intelligence platform that automates literature review, data extraction, and evidence synthesis for regulatory affairs, pharmacovigilance, and clinical research teams in life sciences and pharmaceuticals. It is designed for regulatory scientists, medical writers, evidence synthesis specialists, and clinical operations teams who need to convert large volumes of unstructured biomedical literature and clinical documents into structured, analysis-ready evidence tables for regulatory submissions, systematic reviews, and safety assessments. The platform differentiates itself through domain-specific natural language processing trained on biomedical and regulatory content, enabling traceable, regulatory-grade evidence extraction that maintains the rigour required for health authority submissions while reducing manual curation time from weeks to days.

Why Do Leading Healthcare Teams Trust EVID AI?

• Acquired by Genesis Research in January 2021, integrating the platform into an established Real-World Evidence and HEOR services company with decades of value demonstration expertise.

• Genesis Research (parent company) was subsequently acquired by GHO Capital Partners in November 2021, a European specialist healthcare investor, providing institutional backing and long-term corporate stability.

• Operates patented AI technology for scientific literature search and evidence extraction, specifically designed for life sciences, regulatory, and research workflows.

• Maintains the world's largest curated database of healthcare literature with over 75 million data points, updated nightly to ensure currency of evidence.

• Provides full data provenance and traceability, allowing users to trace extracted evidence from result to source sentence to original article, ensuring reproducibility and transparency required for regulatory submissions.

• Benchmarked performance shows the platform delivers certain literature activities 59 times faster than manual human efforts while identifying more relevant papers than traditional methods.

• Integrated within Genesis Research's established RWE and HEOR service delivery framework, combining AI platform capabilities with professional evidence synthesis teams for regulatory-grade outputs.

• Serves biopharma and life sciences clients across R&D, regulatory affairs, medical affairs, market access, and post-marketing surveillance use cases, with established client relationships transferred through acquisition.