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PuppyGraph Raises $10 Million Series A to Let AI Agents Query Enterprise Tables as One Graph

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Key takeaways

  • PuppyGraph raised a $10 million Series A led by Particle Future and defy.vc, bringing total funding to $15 million.
  • PuppyGraph 1.0 lets AI agents query existing tables as a unified graph without moving data, connecting to Apache Iceberg, Databricks, Snowflake, ClickHouse, DuckDB and PostgreSQL.
  • PuppyGraph says annual recurring revenue grew 7x over the past year and its customers include AMD, Palo Alto Networks, Datadog, Netskope, Coinbase and Trend Micro.

PuppyGraph raised a $10 million Series A led by Particle Future and defy.vc, bringing total funding to $15 million. Tech Funding News reported the round on November 10. The Santa Clara, California-based company said the money will fund engineering and enterprise go-to-market expansion after the general availability of PuppyGraph 1.0.

PuppyGraph's Series A and defy.vc's Return

defy.vc also led PuppyGraph's $5 million seed round in November 2024. The company was co-founded by Weimo Liu, Danfeng Xu and Lei Huang. Liu previously worked on Google's F1 team and at TigerGraph, Xu spent nine years on LinkedIn's infrastructure team, and Huang is a three-time Google Code Jam world finalist.

PuppyGraph queries existing tables as a unified graph instead of copying them into a separate database. Its AI-assisted schema builder generates a graph schema from existing tables for teams to review and approve. Agents can then explore connected data in plain English through PuppyGraph's built-in AI agent, or through compatible tools connected via the Model Context Protocol.

"The insights of enterprise data will soon be generated by agents. Users will expect to ask questions that cross departments and systems, beyond the workflows someone built into a dashboard. That requires agents to navigate thousands of tables, follow the right relationships, and retrieve evidence in subseconds," said Liu, cofounder and CEO of PuppyGraph.

PuppyGraph 1.0 connects directly to platforms including Apache Iceberg, Databricks, Snowflake, ClickHouse, DuckDB and PostgreSQL. The company says its distributed engine completed a 10-hop query across billions of edges in 2.26 seconds on a four-machine cluster. PuppyGraph says its customers include AMD, Palo Alto Networks, Datadog, Netskope, Coinbase and Trend Micro, and that annual recurring revenue grew 7x over the past year without disclosing revenue figures.

PuppyGraph's Funding and Product Record

According to akta.pro company records, PuppyGraph has two funding rounds on record: a seed round in March 2024 and a $5 million seed in November 2024 led by Defy.vc. The same records list a $1.7 million ARR figure as of 2025 and a production data volume of 5-10 petabytes in deployments.

The records also list a June 2025 partnership making PuppyGraph a launch partner for Databricks Agent Bricks, integrating with Unity Catalog to enable graph queries directly on Databricks tables, and a July 2025 integration with Amazon S3 Tables for graph analytics on Iceberg-backed datasets.

Northstar Security and phData Funding

Northstar Security, co-founded by Amer Deeba, raised $7 million in seed funding for an AI-native platform built on a Security Context Graph, Pulse 2.0 reported on November 9. phData raised new funding from existing investor Gryphon Investors, with Anthropic participating, Startup Researcher reported on October 28.

PuppyGraph's Free Developer Start

Developers can start free with a Docker command and go from deployment to first query in 10 minutes, according to PuppyGraph's own announcement.

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