PuppyGraph raises $10M so AI agents can query 3,000 tables without a graph database — TFN
AI-generated summary PuppyGraph raised a $10 million Series A funding round to help enterprise AI agents query thousands of tables without using a graph database. The company states that its engine connects directly to existing platforms like Snowflake and Databricks to support petabyte-scale graph queries.