PuppyGraph, a pioneering graph query engine startup, has raised $5 million in a seed funding round led by Defy.vc.
In today’s data-driven landscape, organizations grapple with the complexities of managing and analyzing interconnected data. Traditional SQL operations often fall short when dealing with intricate, dense data networks, leading to cumbersome and inefficient processes. While graph query languages offer superior capabilities for modeling and traversing complex data relationships, they are typically bound to specialized systems that intertwine query and storage layers. This coupling complicates scalability, adoption, and maintenance, posing significant barriers for enterprises aiming to leverage graph analytics effectively.
PuppyGraph introduces the first and only graph query engine that eliminates the need for Extract, Transform, Load (ETL) processes. Their zero-ETL approach allows enterprises to perform real-time graph analytics without the overhead of loading data into specialized or proprietary graph databases. This innovation not only streamlines data processing but also significantly reduces latency, enabling businesses to execute complex 10-hop neighbor queries across petabyte-scale datasets in mere seconds.
Applications range from enhancing the accuracy of Large Language Models (LLMs) by generating GraphRAGs, which reduce hallucinations, to real-time fraud detection, robust cybersecurity analyses, and optimizing logistics in retail and supply chains.
Additionally, the healthcare sector stands to benefit from PuppyGraph’s capabilities by revealing deep insights from extensive biological and patient data relationships, ultimately improving patient outcomes.
The startup has formed strategic partnerships with Google Cloud (BigQuery & AlloyDB) and became Databricks’ first graph analytics partner for Unity Catalog.
PuppyGraph’s rapid growth is evidenced by a 70% month-over-month increase in downloads of its forever-free developer edition. Additionally, PuppyGraph’s Agentic GraphRAG framework enhances the contextual understanding and navigational capabilities of LLMs
The funds from the seed round will be used to accelerate PuppyGraph’s product development, expand its team, and enhance its market presence.
