A Saama company that offers data analytics solutions and services for banking and capital markets, consumer goods, insurance, the public sector, and more.
GenAI-powered precision, speed, and scalability at your fingertips.
Saama’s DocGenAI is the first of its kind SaaS-based generative AI framework designed exclusively for clinical documentation. From streamlining workflows to reducing errors by 20-40%, DocGenAI transforms how medical writers and clinical teams create critical documents. Using a “Decision by Jury” approach, powered by multiple large language models (LLMs), including Saama’s own proprietary clinical LLM, it generates more accurate and reliable outputs. It combines AI innovation with human expertise to ensure speed, accuracy, and compliance across all stages of clinical development.
Empowers document design with GenAI-driven insights from historical, ongoing, and competitive studies, enabling smarter decisions to optimize trials and reduce inefficiencies.
DocGenAI reduces content drafting time by 30%, powered by AI workflows to ensure faster finalization and on-time delivery of clinical documents.
With AI-driven templates and quality checks, error rates per draft decrease by 30%, ensuring compliance and consistency across all documents.
Pre-loaded and customizable templates powered by GenAI allow seamless scalability across therapeutic areas, enabling quick implementation and consistent document types.
Discover the tools that redefine clinical documentation efficiency.
Easily upload and manage templates that auto-generate reusable formats, ensuring consistency and compliance across all documents.
Generates high-quality content based on study data, reducing manual drafting while aligning with regulatory standards.
Access a centralized library of reusable, up-to-date prompts to ensure consistency and flexibility across document types.
Customize prompts for specific study needs, with AI refining them to ensure clarity and relevance in content generation.
Accelerates literature review with GenAI-powered searches, summarizing findings quickly for expert validation and integration into trial designs.