FalkorDB
Ultra-low Latency Graph Database
Startup Seed Business Software Est. 2023
Total Raised
$3M
Seed
Last Round
$3M
1 rounds
Investors
6
6 public
Team
3
11-50 employees
Confidence
75/100
News
2
articles
About
FalkorDB is a graph database designed to support large language models (LLMs) by providing ultra-low latency knowledge graph services. It focuses on improving the capabilities of Retrieval Augmented Generation (RAG) models by overcoming existing limitations. FalkorDB is tailored to handle high-dimensional data efficiently and is leveraged by businesses in various sectors, including medical and clinical data analysis, to enhance their data management and analysis capabilities.
Classification
Sector
Business SoftwareIT, R&D & Data SolutionsData Architecture
Core Technology
Data Storage
Target Customer
Enterprise & Professional ServicesEnterprisesHealthcare & Life SciencesMedical Devices Industry
Business Model
B2B
Funding & Events
Jun 2024
Seed $3M
Angular Ventures (Lead), Jerry Dischler, Eldad Farkash, Areye Mergi, Saar Bitner, K5 Global
News (2)
Jun 16, 2024 · www.calcalistech.com
growth-positive
“We’re transforming the market by making LLM deployment more practical and effective” | CTech
InvestmentExpand
Jun 9, 2024 · www.geektime.co.il
The Israeli startup FalkorDB wants to improve the giant language models (LLMs) and is now revving up with a $3 million seed round
Details
Product Stage
R&D
Employees
11-50
Exact Count
17
District
Center District
Founded
2023
Registrar
516848330
Locations
Petah Tikva, Israel
Links
Website
LinkedIn
Twitter
Facebook
Careers
Admin
Last Update
Apr 1, 2025
Verified by
Dana Arnon
Missing
sector, tags, video or image, markets, not claimed
Team (3)
Guy Korland
Co-founder & CEO
Founder
Roi Lipman
Co-founder & CTO
Founder
Dan Shalev
Growth Marketing Manager
Internal
Created by
Maor Perlov (maor.perlov@sncentral.org)
Created
2024-05-02T00:00:00.000Z