LiquidText
The infinite workspace for deep document analysis and multi-source synthesis.
Enterprise Knowledge Automation and Discovery powered by Semantic Intelligence.
Kaybus, now integrated into the Pryon ecosystem as of 2026, represents the gold standard in enterprise knowledge automation. The technical architecture focuses on transforming unstructured data—including documents, videos, and presentations—into a searchable, semantic knowledge graph. By utilizing advanced natural language processing (NLP) and machine learning, Kaybus eliminates 'information silos' within large organizations. Its 2026 market position is defined by its ability to provide 'just-in-time' knowledge delivery to sales, support, and engineering teams. The platform doesn't just index text; it performs deep analysis of audio and visual tracks in video content, making every spoken word a searchable metadata point. Built for massive scalability, it handles millions of assets while maintaining sub-second latency for complex queries. In the 2026 landscape, Kaybus serves as the critical 'Knowledge Layer' that feeds into corporate LLMs and RAG (Retrieval-Augmented Generation) pipelines, ensuring that AI responses are grounded in verified, internal corporate truth rather than generic web data.
Uses OCR and Speech-to-Text to index every frame and word within video files, allowing users to jump to specific timestamps.
The infinite workspace for deep document analysis and multi-source synthesis.
Empower your teams to learn, practice, and perform with AI-driven sales enablement and microlearning.
Transform fragmented datasets into navigable, high-fidelity neural knowledge graphs for RAG orchestration.
The minimalist's gateway to focused reading and intelligent content archival.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A proprietary ML algorithm that ranks search results based on the user's role, historical activity, and team behavior.
Unsupervised learning used to group related content into logical topics without manual intervention.
Mirrors source permissions (ACLs) in the index, ensuring users only see what they have access to at the source.
Provides heatmaps of knowledge consumption and identifies 'searches with no results'.
Queries disparate silos (Salesforce, JIRA, Slack) simultaneously using a unified semantic model.
Provides high-relevance chunks of text specifically optimized for consumption by Large Language Models.
New sales reps take months to learn complex product portfolios.
Registry Updated:2/7/2026
Two companies merge and have redundant, unorganized document silos.
Support agents spend too much time looking for technical fixes in old tickets.