Our platform makes Retrieval-Augmented Generation effortless, from uploading and organizing documents into secure, access-controlled portfolios to embedding them with rich meta tags for smarter categorization. Whether your content lives in files, URLs, or cloud storage like Amazon S3, Azure Blob, or Google Cloud, it's unified into a powerful semantic index that understands meaning, not just keywords. With AI-driven retrieval, your teams get context-aware, citation-backed answers in seconds, enabling faster decisions, better research, and instant insights - all without the complexity of managing infrastructure.
Harness AI to organize content, unify sources, and deliver citation-backed insights seamlessly.
Organize your organization's documents, reports, and reference materials into curated portfolios for targeted access and retrieval. Centralize control over content ownership, version history, and visibility rules while maintaining flexible categorization.
Leverage Retrieval-Augmented Generation (RAG) to surface the most relevant content. Instead of sifting through endless folders, the system matches user queries to semantically similar documents, delivering precise answers instantly.
Whether content is in file uploads, URLs, or cloud storage like Amazon S3, Azure, or Google Cloud, it's indexed for seamless retrieval. Advanced semantic search ensures results are based on meaning, not just keywords.
RAG AI synthesizes responses by pulling key passages from multiple sources, providing citations and traceability. This transforms scattered information into actionable intelligence across the organization.
Our RAG system delivers accurate, up-to-date answers powered by your data and trusted sources.
Launching in Few Weeks