For academic and scientific researchers or analysts, Rel is a knowledge discovery tool that uses relevance and relationships to uncover non-obvious insights hidden deep in expert literature.
Users upload PDFs or link RSS feeds from their research sources into Rel. AI instantly extracts, connects, and visualizes content, topics, people, authors, dates, citations, sources, tables and figures into an interactive knowledge graph that shows hidden connections in your data.
Everything in Rel, from analysis to visualization, happens inside the researcher’s personal lab which can be easily shared, compared, and collaborated on with a group of their peers.
The data fabric layer is the layer in which humans interact with their data and context is added.
BESPOKE is a self-service, event-driven data fabric platform that empowers users to work with diverse data—discovering, ingesting, fusing, and exporting information on demand. Built-in ontology services make organizational data easier to understand, trust, and operationalize—all within your existing security and governance frameworks.
BESPOKE is not an acronym; the name means “custom and fit-for-purpose,” which underscores the platform’s key differentiator: empowering users to discover, curate, and manage their own data at the speed of mission and the point of need, without the need for software or API developers.
