We are cogneezant on how hard it is to build a production grade data layer.

What began as a series of blog posts has grown into Cognee—an open-source library integrated into several products and supported by an active community.

Our story

At Cognee, we're on a mission to simplify AI data management. With over a decade of experience building scalable systems, we've seen firsthand the challenges that come with creating production-grade data layers.Our journey began with a series of blog posts, and thanks to community support and a few viral tweets, Cognee has evolved into an open-source library integrated into several products with an active community.

Founders

Vasilije Markovic, co-founder
Vasilije Markovic
CEO & Co-Founder
Boris Arzentar
CTO & Co-Founder
Boris Arzentar, co-founder

The team

Hande Kafkas
Hande Kafkas
Growth Engineer
Igor Ilic
Igor Ilic
Software Engineer
Laszlo Hajdu
Laszlo Hajdu
Software Engineer
Lazar Obradovic
Lazar Obradovic
Data Science Lead
Rita Aleksiev
Rita Aleksiev
Data Scientist

Investors

We raised 1.5 m EUR pre seed round and are backed by:
42 Cap VC logo
Angel Invest VC logo
Combination VC logo
Join the Cognee community to hear about new releases, use cases, and all the things we’re working on.

From the blog

Cognee + LanceDB: Simplifying RAG for Developers
Cognee + LanceDB: Simplifying RAG for DevelopersDiscover how Cognee and LanceDB simplify Retrieval-Augmented Generation (RAG) workflows. Learn how graph-based semantics, dynamic vector search, and Apache Arrow-powered LanceDB streamline data handling,...Read more
Cognee + Graphiti: Integrating Temporal-Aware Graphs
Cognee + Graphiti: Integrating Temporal-Aware GraphsDiscover how cognee integrates with Graphiti to enable temporal-aware graphs. Learn about feature enrichment, graph transformation, and how to build custom, scalable solutions. Explore use cases, code...Read more
Exploring AI Memory on the AI Engineering Podcast
Exploring AI Memory on the AI Engineering PodcastLearn about differences between episodic and semantic memory systems, real-world use cases, challenges in scaling LLM memory, and more. Listen to the AI Engineering Podcast with Tobias Macey and explore...Read more