Auditing Public Company Filings with a Knowledge Graph Live Build with Quar

A company files its S-1, drops a quarterly earnings report, and releases supplementary financials. An auditor needs to cross-reference all of them. What if the graph did that automatically? Vishal Singh (Quark Labs) will take real public company filings - S-1 documents, quarterly financial statements, and supplementary disclosures - and build a knowledge graph that connects entities, figures, and compliance data across all of them. The demo shows how document intelligence extracts structured data from complex financial layouts, loads it into Memgraph, and enables an analyst or auditor to ask cross-document questions: revenue consistency checks, disclosure gap detection, and entity relationship mapping. If you missed the KYC session, this one stands alone - same pipeline, different domain, different graph. About Memgraph: Memgraph is a high-performance, in-memory graph database that powers real-time AI context. It serves as the graph engine for GraphRAG pipelines, AI memory systems, and agentic workflows - delivering sub-millisecond multi-hop traversals with full provenance for any system that needs structured, connected context alongside semantic search. The same architecture that makes Memgraph the context layer for AI also drives real-time graph analytics across fraud detection, network analysis, infrastructure monitoring, and other operational use cases where speed and connectivity matter. Website: https://www.memgraph.com Twitter: https://www.twitter.com/memgraphdb LinkedIn: https://www.linkedin.com/company/memgraph Facebook: https://www.facebook.com/memgraph