PuppyGraph raises $10 million so AI agents can query thousands of enterprise tables as one graph

Nov 10, 2026
PuppyGraph's Series A, led by Particle Future and defy.vc, follows the general availability of PuppyGraph 1.0, which queries data in place without a separate graph database.

PuppyGraph raised a $10 million Series A led by Particle Future and defy.vc, bringing its total funding to $15 million, according to Tech Funding News. The company will use the funding for engineering and enterprise sales following the general availability of PuppyGraph 1.0.

PuppyGraph lets AI agents query existing enterprise tables as a unified graph without copying data into a separate graph database. Its AI-assisted schema builder creates graph schemas from existing tables, while agents can query connected data through its built-in agent or compatible tools using the Model Context Protocol.

PuppyGraph 1.0 connects to Apache Iceberg, Databricks, Snowflake, ClickHouse, DuckDB and PostgreSQL. The company says its distributed engine supports graph queries at petabyte scale, and says it completed a 10-hop query across billions of edges.

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