Polyvia is a Visual Knowledge Index platform that enables AI agents and MCPs to understand, search, and reason over visual data like charts, tables, and diagrams. It extracts structured facts, connects them into a unified knowledge graph, and provides auditable citations, solving the problem of scattered, unsearchable visual information in documents.
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How to use Polyvia?
Upload documents (PDFs, PPTs, etc.) to Polyvia. Its engine extracts structured data from charts and tables, building a connected knowledge graph. Users can then query this visual knowledge base through Polyvia Studio for exploration or via its API/MCP server to empower other AI agents. It answers complex questions with source citations, enabling cross-document analysis.
Polyvia 's Core Features
Visual Knowledge Graph: Creates a single source of truth by connecting extracted facts from visuals across documents into a disambiguated knowledge graph.
VLM-OCR & Chart Extraction: Converts complex charts, tables, and diagrams into structured, queryable data points with high accuracy.
Audit-Ready Visual Citations: Traces every answer back to its exact source document, page, and section for complete transparency.
Cross-Document Agentic Reasoning: Allows AI agents to query and reason across thousands of documents by leveraging connected facts, not isolated data.
Enterprise-Grade Deployment: Offers private on-premises or VPC deployment with integrations for S3, Snowflake, SharePoint, and compliance with SOC2.
Multimodal RAG-as-a-Service: Provides a REST API and MCP Server (for Claude, Cursor) to equip existing AI workflows with visual reasoning capabilities.
Zero-Training Policy: The system works out-of-the-box without requiring custom model training for specific document types.
Polyvia 's Use Cases
Financial Analysts can instantly extract and compare quarterly revenue metrics from thousands of PDF reports, saving hours of manual data entry.
Business Intelligence Teams can query a corpus of presentation decks to identify growth trends across different product segments with cited evidence.
Compliance Officers can audit AI-generated answers about financial data by verifying the exact source chart and page number for each claim.
Research Analysts can perform deep analysis across a library of research papers by asking questions that connect data from multiple charts and tables.
Enterprise IT integrates Polyvia's API to give internal chatbots the ability to answer questions based on data locked in company slide decks and documents.
VC Firms can quickly diligence a startup by having an agent analyze all their pitch decks and financial models for key metrics and inconsistencies.
