Key Highlights
- $5M seed funding led by defy.vc for PuppyGraph’s first-ever graph query engine
- Zero-ETL analytics unlock real-time data insights across industries
- Enhanced LLM accuracy with GraphRAG, reducing AI hallucinations
- Real-time fraud detection and cybersecurity insights improve data reliability and safety
- 10-minute deployment with petabyte-scale capability for enterprises
Source: Business Wire
Notable Quotes
- “This funding will accelerate our product development, expand our team, and increase our market presence, bringing our powerful graph query engine to more organizations worldwide.” — Weimo Liu, CEO at PuppyGraph
- “PuppyGraph is changing the way companies approach graph analytics. We are excited to support this innovative team that is not only advancing graph technology but also making it universally accessible and easy to use.” — Brian Rothenberg, Partner at defy.vc
- “PuppyGraph can integrate this data into a graph model and another distributed computation engine to render all the results…this level of flexibility is powerful, and our users really enjoy it.” — Eric Sun, Sr. Manager of Data Platform at Coinbase
SoHC's Take
PuppyGraph’s approach to graph analytics addresses a significant gap in current data analysis by offering enterprises the ability to use a single query engine on familiar SQL data environments, bypassing the need for a traditional ETL process. With its capacity to handle petabyte-scale data and ultra-fast, 10-hop neighbor queries, PuppyGraph is transforming graph-based data analysis. This positions it as a critical tool across multiple sectors, enabling advanced insights in real-time, reducing operational complexity, and enhancing capabilities in areas like AI-driven language models, fraud prevention, and healthcare analytics.
