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
CEO & Co-Founder

Boris Arzentar
CTO & Co-Founder

The team

Hande Kafkas
Growth Engineer

Igor Ilic
Software Engineer

Laszlo Hajdu
Software Engineer

Lazar Obradovic
Data Science Lead

Rita Aleksiev
Data Scientist

Investors

We raised 1.5 m EUR pre seed round and are backed by:

Join the Cognee community to hear about new releases, use cases, and all the things we’re working on.

From the blog

Ollama, Deepseek, and GraphsExplore the power and limitations of Ollama and Deepseek in creating LLM-based knowledge graphs. Cognee evaluated small vs. large models, tackled structured data output, and improved agent-ready data layers....Read more

Vector Databases: How They Work and Why They MatterDiscover how vector databases work and why they’re essential for AI, recommendation engines, and semantic search. Learn how they handle unstructured data and enable intelligent applications. Explore top...Read more

Cognitive Architectures for Language Agents: ExplainedDiscover how advanced cognitive architectures enhance LLM memory systems and adaptive decision-making for human-like AI agents. Explore CoALA’s framework for context-aware, high-performing AI—transform...Read more