Polyvia offers a unique solution for visual data management through its Visual Knowledge Index, which allows agents and multi-channel platforms (MCPs) to query a comprehensive index of visuals. Unlike other services that focus on extracting images or indexing text, Polyvia connects facts across various documents, enabling users to reason over visual data. For instance, it can extract structured information from charts and tables, turning them into actionable facts. This capability supports advanced analytics, such as reporting a 14% year-over-year revenue increase. The Polyvia Engine serves as a robust infrastructure for visual AI, providing a unified knowledge graph of facts. Each piece of information is clearly identified, including specifics like company revenue for Q3, which is reported at $4.5 million with high confidence. The platform facilitates cross-document reasoning, allowing users to query over 10,000 documents and trace every answer back to its source, making it audit-ready. Two primary access methods are available: Polyvia Studio, aimed at knowledge workers, and an API for developers. Polyvia Studio enables visual search and exploration across millions of documents, while the API supports custom integrations for building multimodal agents. The enterprise version offers deployment on private infrastructure, compliance with SOC2, and integration options like S3 and Snowflake. Currently in private beta, Polyvia is inviting users to join a waitlist for early access.