FalkorDB

Tel Aviv, Israel
Founded 2023

FalkorDB is an ultra-fast, multi-tenant graph database built for generative AI applications, including GraphRAG, agentic AI, and fraud detection. It is the first queryable property graph database to use sparse matrices for adjacency matrix representation and linear algebra for graph queries, enabling exceptionally low latency and high scalability for knowledge graph workloads.

Last Updated: March 14, 2026

Current Valuation

$18M

as of June 30, 2024 (Source)

Funding Summary

$3M

Total reported funding

Key People

Guy Korland
CEO & Co-FounderFounder
LinkedIn Profile
Roi Lipman
CTO & Co-FounderFounder
LinkedIn Profile
Avi Avni
Chief Architect & Co-FounderFounder
LinkedIn Profile

Core OSS Projects

A super fast graph database using GraphBLAS for sparse adjacency matrix representation and linear algebra for graph queries, optimized for knowledge graphs and GraphRAG.

License: SSPL-1.0

Business Information

Technologies

RAG
Graph Database
Vector Search
Database as a Service
Knowledge Graph

Sectors

Enterprise

Licenses

SSPL-1.0

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