KB2B is an AI powered knowledge management platform built for fast growing SaaS companies and digital consultancies. Unlike traditional tools that simply store and index static content, KB2B reasons over dynamic, multi source information, meetings, documents, and AI led interviews, turning scattered inputs into verified, connected company knowledge.
Every fact extracted from a meeting, a document, or a structured AI interview receives a POT Score, an explicit certainty rating from 0.0 to 1.0. Contradictions between sources are detected automatically instead of quietly coexisting, and every fact is linked to related facts through a live knowledge graph, showing how decisions, risks, and context connect across the organization.
Scout, KB2B's first AI agent, answers questions by reading the most relevant facts in the knowledge base, gathering external context when needed, and returning insights with visible confidence scores and traceable citations back to the original source, meeting, document, or interview. There is no black box, every answer can be verified.
KB2B captures knowledge from three sources: meeting recordings across Zoom, Google Meet, and Microsoft Teams, or imported transcripts from Granola, Otter, and Fireflies, any document format including PDF, Word, Excel, PowerPoint, and Markdown, and structured AI led interviews for brainstorming, retrospectives, and problem solving.
Built on SciPot, a memory infrastructure layer purpose built for AI agents, KB2B is designed for teams where decisions and context change weekly, not once a quarter, roles like Chief of Staff, Head of Operations, and Head of Product at scaling companies.
Available as a desktop app for macOS and Windows, and as a web application. Plans range from Spark to Megamind, all include a 7 day free trial.
