Polyvia is the first Visual Knowledge Index for Agents & MCPs, designed to turn scattered visuals into a queryable source of truth with every fact disambiguated. It serves as a visual AI infrastructure layer that provides visual search and reasoning at scale on a graph of connected facts.

Key capabilities include creating one connected knowledge graph of facts where every fact is disambiguated by company, quarter, source, and page. It features VLM-OCR extraction and charts-to-data conversion that transforms charts, tables, and diagrams into structured facts with visual logic extraction from any document. The platform provides visual citations that trace every answer to its source document, page, and section for audit readiness. It enables cross-document agentic reasoning by connecting facts across 10,000+ documents.

The product works by indexing and reasoning over visuals rather than just extracting visuals or indexing text. It connects facts across the entire corpus to create a unified knowledge graph.

Benefits include providing a single source of truth for visual data, enabling audit-ready answers with proper citations, and supporting querying across massive document sets. Use cases include visual search and exploration, querying across millions of charts and slides, and building multimodal agents with visual reasoning capabilities.

The target users are developers building multimodal agents and knowledge-work teams. It offers integrations through REST API for custom integrations and MCP Server for Claude, Cursor and Windsurf. Enterprise deployments support on-prem/VPC deployment with integrations to S3, Snowflake, SharePoint, CRM, and ERP.