PuppyGraph Raises $10M Series A

PuppyGraph, based in Santa Clara, California, is a graph query engine provider that enables enterprise AI agents to query data across thousands of tables as a unified, federated graph. The company announced it has raised $10 million in a Series A funding round, bringing its total funding to $15 million.

Investors

The funding round was led by Particle Future and defy.vc.

PuppyGraph Use of Funds

PuppyGraph plans to use the new capital to accelerate engineering efforts and expand its enterprise go-to-market operations.

About PuppyGraph

Founded to solve data challenges in AI, PuppyGraph provides a graph query engine that allows AI agents to perform complex, petabyte-scale queries on existing data infrastructure without the need to move or duplicate data into a separate graph database. Its platform supports native integration with tools like Snowflake, Databricks, and PostgreSQL, allowing for subsecond performance across thousands of tables.

Funding Details

Company Website: https://puppygraph.com

Company: PuppyGraph
Raised: $10M
Round: Series A
Funding Date: November 10, 2026
Lead Investor: Particle Future, defy.vc
Company Website: https://puppygraph.com
Software Category: Data Infrastructure
Source: PuppyGraph