Anantara’s framework for constructing and maintaining Knowledge Bases for corporate AI Systems
Anantara strongly believes that the true value of AI would be unlocked by enterprises only when AI acts on knowledge specific to them and their industry segments. To this end, Anantara uses Epsitemebox, a framework developed by its founder, Prabhat, for the construction and maintenance of a company’s Knowledge Base(s). Epistemebox is cutting edge work on an area that is critical to AI’s success but currently underappreciated.
Download on this page the abstract of a paper presented by Prabhat in a conference on AI organized by the Chennai Mathematical Institute in January 2026. The abstract emphasizes why Epistemebox is very pertinent to the world of business as companies take a headlong plunge into Agentic and other forms of AI. While business is enamored of AI algorithms, the abstract cautions that the underlying knowledge – the apparently unglamorous part of AI systems – is vital to the reliability of results. It introduces Epistemebox as a practical framework and taxonomy for organizing and managing such knowledge.
Epsitemebox is a part of Anantara’s EMS methodology, which is a complete lifecycle methodology for managing AI-incorporated systems.
