DataRiver is proud to announce the market launch of the DocFlow AI pharmacovigilance platform. Powered by AI, this platform is designed for querying and analyzing documents, as well as providing automated monitoring of internal and external databases, optimizing scientific literature screening and review activities.
DocFlow AI enables:
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Advanced natural language literature screening: Allows you to query and compare thousands of documents, procedures, and data sources automatically to retrieve relevant articles instantly. Rather than relying on simple keyword searches, the system performs an in-depth context analysis using artificial intelligence for genuine semantic understanding. Furthermore, to prevent AI hallucinations, DocFlow AI displays the original sources alongside concise summaries of their content.
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Direct querying of authoritative external sources: Offers the ability to expand your document and data search by directly querying key external databases within the pharmaceutical sector, such as PubMed, the EMA (European Medicines Agency), and AIFA (Italian Medicines Agency).
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Creation of a unified, multi-format knowledge base: Enables users to query both databases and large volumes of heterogeneous documents (including PDF, DOCX, PPTX, HTML, database formats, etc.) simultaneously with a single query, performing information extraction and automatically generating required reports.
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Optimization of corporate gap analysis processes: Automatically compares large volumes of documents and data across internal and external databases. This allows companies to verify, for example, compliance and updates to quality management system documents against current regulations.
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Hallucination control: Ensures total data traceability by always displaying on-screen the exact location within the source documents where the AI agent retrieved the information, enabling immediate verification against original files. Additionally, the system is set by default to search for information exclusively within user-provided sources, avoiding the retrieval of inaccurate or incomplete information from the web.
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Complete security and sensitive data protection: DocFlow AI safeguards corporate data security by adapting to any enterprise environment (e.g., Google Workspace or Microsoft Azure), ensuring shared data remains within the designated environment. Furthermore, the platform supports local model deployment to prevent sensitive data exposure via external APIs.