Queryable visual knowledge index for agents API • Developer Tools • Artificial Intelligence 5 105 ElevenAgents by ElevenLabs Scale conversations without scaling your team Artificial Intelligence • Audio
Polyvia is the first Visual Knowledge Index for Agents & MCPs. Turn scattered visuals into a queryable source of truth with every fact disambiguated. Other tools extract visuals OR index text — Polyvia indexes and reasons over visuals, connecting facts across 10,000s of documents. Built for developers of multimodal agents and knowledge-work teams.
Polyvia Platform offers a web interface at app.polyvia.ai where users can upload PDFs, slides, and reports, connect to data sources via integrations (Google Drive, SharePoint, Dropbox), and search with natural language to interactively explore topics with cited answers
Polyvia's multimodal retrieval API and visual document intelligence engine extract actual data points from charts, tables, infographics, scans, and images with 99.8% citation coverage, enabling AI agents and knowledge workers to query 100K+ documents with sub-200ms latency and audit-ready cited answers
Polyvia supports WAV, MP3, and M4A audio files with citation accuracy down to the second (e.g., 02:14 → 02:31), enabling teams to extract and verify facts from recorded meetings, calls, and interviews with full traceability
Polyvia's cross-filing KPI comparison and counterparty credit monitoring use cases allow teams to compare single metrics across 500+ filings in seconds and flag covenant breaches automatically, reducing manual document review time
Polyvia provides Python and Node.js SDKs, REST API, and MCP server integration for developers to ingest, index, and query visual documents programmatically; the knowledge ontology enables semantic concept clustering and cross-document relationship mapping for intelligent agent reasoning