HydraDB

Total raised$6.5M
StageSeed
Hiring pace2 roles / 90d
Founded2025
Team size11-50
Industries
Technology

About HydraDB

HydraDB is building the graph-native context and memory infrastructure for AI. AI is stateless — HydraDB fixes that with graphs: instead of similarity search over a vector store, it builds structured context graphs of entities, relationships, temporal states, and causal chains, returning relevance instead of similarity. The product is a GraphDB built on object storage with a tiered architecture (in-memory cache → NVMe → object storage), git-style temporal versioning, and entity resolution — roughly 10x cheaper and purpose-built for modern AI workloads. Born out of research at Stanford, HydraDB has raised $6.5M from investors including Jeff Dean, Sky9 Capital, and researchers from OpenAI and DeepMind. Over 2,000 developers build on it today, with 1B+ documents ingested.

Open positions · 2

San Francisco · On-site · $120-200k

Company at a glance

Location
San Francisco, United States
LinkedInLinkedIn

Top Benefits

  • Competitive comp + meaningful equity
  • Wellness programs
  • Free daily meals in the office
  • Flexible PTO
  • Top-tier gear + software
  • Learning budget (books, courses, conferences, compute)
  • Team offsites

Location

Funding History

SeedMar 2026

$6.5M

raised

AI database startup HydraDB raised $6.5M in a seed round.

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