PuppyGraph has raised a $10 million Series A round. Particle Future and defy.vc led the investment. Its graph query engine lets AI agents query thousands of enterprise tables as one graph.
Use of funds
The Series A brings PuppyGraph's total funding to $15 million. The company plans to expand engineering and enterprise go-to-market efforts. The round follows the general availability of PuppyGraph 1.0.
Customer adoption
PuppyGraph reports that annual recurring revenue grew 7x over the past year. Customers include AMD, Palo Alto Networks, Datadog, and Coinbase. Additional adopters include Netskope, Trend Micro, Baker Hughes, and Sola Security.
Graph engine details
PuppyGraph runs graph queries directly on existing data sources. It supports Apache Iceberg, Databricks, Snowflake, ClickHouse, DuckDB, PostgreSQL, Microsoft Fabric, and Apache Hudi. The company says a 10-hop query across billions of edges completed in 2.26 seconds on a four-machine cluster.
Developers can start free with a Docker command. No form or payment is required. PuppyGraph says deployment to a first query takes about 10 minutes.