The startup said the fresh funding will drive its go‑to‑market push, enabling AI agents to scan thousands of corporate tables in under a second.
PuppyGraph has secured $10 million in a fresh funding round, positioning the startup to accelerate its mission of giving AI agents rapid, graph‑based access to enterprise tables.
Funding round details
The round was led by Accel with participation from existing backers Sequoia Capital and Lightspeed Venture Partners. The capital will primarily fund go‑to‑market initiatives, product scaling, and hiring for sales and engineering.
How PuppyGraph’s technology works
PuppyGraph transforms traditional relational tables into a graph representation, enabling AI agents to issue graph queries that retrieve relevant rows across thousands of tables in under a second.
The platform leverages a proprietary indexing engine that pre‑computes relationships between columns, reducing the latency typically associated with scanning large spreadsheet‑style datasets.
Potential impact for enterprises
Enterprises can embed PuppyGraph’s API into internal AI assistants, allowing those agents to answer data‑driven questions without manual query crafting. This could streamline workflows in finance, supply chain, and customer support where data resides in myriad siloed tables.
- Faster data retrieval for AI‑driven analytics
- Reduced need for custom ETL pipelines
- Improved accuracy of AI responses by accessing up‑to‑date tables
Analysts note that the ability to query enterprise data as a graph aligns with the broader trend of “data fabrics,” where disparate sources are unified for AI consumption.
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Read the full story on SiliconANGLE coverage of PuppyGraph raises $10M.