Company Directory › AI & software › PuppyGraph
Profile not yet claimed. This profile was compiled by GlobleMatch from public sources on 10 November 2026. It has not been reviewed or endorsed by PuppyGraph, and a listing does not imply a partnership with GlobleMatch. If you represent PuppyGraph, you can claim this profile to verify and manage it — or request a correction or removal.
Directory Listing · United States
PuppyGraphNot yet claimed
PuppyGraph is a Santa Clara, California software company that builds a graph query engine for enterprise data: instead of copying data into a separate graph database, its engine sits on top of the warehouses, lakehouses and databases a company already runs and lets teams query their tables as one unified graph, in place.
About PuppyGraph
PuppyGraph is a Santa Clara, California software company that builds a graph query engine for enterprise data: instead of copying data into a separate graph database, its engine sits on top of the warehouses, lakehouses and databases a company already runs and lets teams query their tables as one unified graph, in place. It connects to platforms including Apache Iceberg, Databricks, Snowflake, ClickHouse, DuckDB, PostgreSQL and Google BigQuery, and queries are written in openCypher or Gremlin. There is no ETL pipeline to build and no second copy of the data to keep in sync; the company says a first query can run within ten minutes of deployment, and cites production deployments of five to ten petabytes.

Founded in 2023 and launched publicly in 2024, PuppyGraph now positions the engine as data infrastructure for AI agents: its graph model gives agents and GraphRAG systems an enforced map of business relationships, so they can follow multi-hop connections across what the company describes as some 3,000 enterprise tables and retrieve connected context for a language model, with agents connectable through MCP. PuppyGraph 1.0, now generally available, adds an AI-assisted schema builder that drafts the graph model from existing tables for human review. On 10 November 2026 the company announced a US$10 million Series A led by Particle Future and defy.vc, bringing total funding to US$15 million after an earlier US$5 million seed led by defy.vc, and reported sevenfold ARR growth over the past year. Named customers include AMD, Datadog, Palo Alto Networks, Trend Micro, Coinbase, Netskope, Baker Hughes and Sola Security, and its published use cases include cybersecurity attack-path investigation, fraud and financial-crime tracing, supply-chain analysis and knowledge graphs.

Products & services
- Graph query engine — runs graph queries (openCypher and Gremlin) directly on existing warehouse, lakehouse and database tables; no ETL pipelines and no second data copy to keep in sync
- GraphRAG & AI-agent layer — an enforced graph model that AI agents and MCP clients query to follow multi-hop relationships across thousands of enterprise tables, with a built-in AI assistant
- AI-assisted graph schema builder (PuppyGraph 1.0) — generates a draft graph schema from existing tables for teams to review and approve
- Deployment & security — Docker or Kubernetes or cloud marketplaces, running in the customer’s own environment, with OIDC single sign-on, role-based permissions and row-level filters
Questions partners ask
No. PuppyGraph is a graph query engine, not a database: it runs graph queries directly on the tables in a company’s existing warehouses, lakehouses and databases, so no data is copied, loaded or kept in sync in a separate graph store (per the company).
Apache Iceberg, Databricks, Snowflake, ClickHouse, DuckDB, PostgreSQL, Google BigQuery, Microsoft Fabric and Apache Hudi are among the sources the company lists; queries are written in openCypher or Gremlin.
US$15 million in total: a US$5 million seed round led by defy.vc and a US$10 million Series A led by Particle Future and defy.vc, announced on 10 November 2026.
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Sources & verification
- Company website — puppygraph.com (graph query engine description, zero-ETL positioning, AI-agent and GraphRAG layer, supported data platforms, customer testimonials; contact page confirms the Santa Clara office). Checked 10 November 2026.
- Series A announcement — Business Wire, 10 November 2026 (US$10M Series A led by Particle Future and defy.vc; US$15M total raised; named enterprise customers; PuppyGraph 1.0 general availability). Checked 10 November 2026.
- Company background — PitchBook and CB Insights company profiles (founded 2023; Santa Clara, California headquarters; formerly known as PuppyQuery). Checked 10 November 2026.
- Figures described in this profile as company-stated come from the company’s own public materials and were not independently audited by GlobleMatch.
Facts last verified: 10 November 2026. Something wrong? A listed company can request a correction or removal at any time; verified requests are actioned.
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Profile facts
| Headquarters | Santa Clara, California |
|---|---|
| Country | United States |
| Industry | Graph query engine · enterprise data infrastructure & AI agents |
| Founded | 2023 |
| Company size | Not officially disclosed (PitchBook listed 25 employees in 2025 and LinkedIn-derived listings show an 11–50 band; treated as unverified) |
| Markets served | Enterprise data, platform and AI teams worldwide; named customers include AMD, Datadog, Palo Alto Networks, Trend Micro, Coinbase and Netskope (company announcement, November 2026) |
| Official website | puppygraph.com |
| Public funding | US$15M total — US$5M seed led by defy.vc; US$10M Series A led by Particle Future and defy.vc (announced 10 November 2026) |
| Profile status | Not yet claimed |
| Facts last verified | 10 November 2026 |
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