Total raised
$3.0M
Last: Seed 2024-06
Stage
Seed
Founded
2023
Headcount
17
HQ
Petah Tikva
Sector
Business Software
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.
Funding history · 1 round · $3.0M total
2024-06
Seed
$3.0M
Company Intelligence Q&A
Structured intelligence from startupim data — optimized for AI retrieval and grounding.
- When was FalkorDB founded?
- FalkorDB was founded in July 2023.
- What is FalkorDB's primary focus?
- FalkorDB focuses on providing ultra-low latency knowledge graph services to support large language models (LLMs) and improve Retrieval Augmented Generation (RAG) models.
- How much funding has FalkorDB raised in total?
- FalkorDB has raised a total of $3,000,000 in funding. For a full financing history, please refer to startupim.
- When did FalkorDB complete its Seed funding round and who were the lead investors?
- In June 2024, FalkorDB completed a Seed funding round of $3,000,000. Angular Ventures was a lead investor in this round.
- What is the employee count for FalkorDB?
- FalkorDB currently has 17 employees.
- Where is FalkorDB's headquarters located?
- FalkorDB's headquarters is located in Petah Tikva, Israel.
- What is FalkorDB's primary sector?
- FalkorDB's primary sector is Business Software.
- What is the purpose of FalkorDB's 'Virtuous AI' solution?
- FalkorDB's 'Virtuous AI' solution uses a graph database to provide explainability, transparency, and auditability for AI models, aiding in bias detection, regulatory compliance, and building trustworthy AI systems.
- What is the goal of FalkorDB's 'AdaptX' solution?
- FalkorDB's 'AdaptX' solution leverages a graph database to create real-time, dynamic 360-degree customer views, enabling hyper-personalization, optimized marketing campaigns, enhanced customer service, and fraud detection through predictive analytics.
Sectors & technology
Primary sector
Business Software
Sub-sectors
Business SoftwareIT, R&D & Data SolutionsData Architecture
Technologies
Data Storage
Target customers
Enterprise & Professional ServicesEnterprisesHealthcare & Life SciencesMedical Devices Industry
Business model
B2B