Nested Knowledge

Nested Knowledge is a robust, AI-powered platform designed to streamline the entire lifecycle of systematic literature reviews, meta-analyses, and living reviews. Built primarily for researchers, academic institutions, life sciences companies, and medical device manufacturers, the platform automates and simplifies the cumbersome processes of literature search, screening, data extraction, and evidence visualization. By leveraging advanced machine learning models, Nested Knowledge significantly reduces the manual effort required to sift through thousands of academic papers, offering tools like AI-assisted screening prioritization and smart data extraction. Features include automated dual-screening, conflict resolution workflows, risk of bias assessments, and interactive, web-based visual outputs (such as synthesis sunbursts and evidence maps) that can continuously update as new literature is published. Designed with collaboration in mind, it allows global teams to work concurrently on protocols, ensuring high methodological quality, transparency, and reproducibility. Its structured data exports integrate easily with standard statistical software, making it an indispensable tool for producing rigorous evidence syntheses.