About
Cognee is an AI memory engine that uses knowledge graphs to give large language models reliable, grounded, auditable memory.
Challenge, approach, and impact
Unverified outputs
AI agents and analytics systems hallucinate, producing confident but unverified outputs that cannot be deployed in regulated or high-stakes environments.
Graphs Difficult to Build
Knowledge graphs at scale are difficult to build, maintain, and query efficiently, especially when the underlying data is unstructured and constantly changing.
Accessible Grounding Layer
Making the grounding layer accessible to engineering teams through a clean SDK and a reliable cloud platform, not just a research artifact.
How we built
Testimonials
Nikola Zivkovic, CTO @ Rubix Code DOO
Rubix Code DOO
“Working on Cognee feels like being early on something that actually matters. It is not another wrapper around an LLM. The pace is relentless in the best way. Ideas turn into shipped code within hours, and everyone around me is sharp enough to keep pushing my own thinking further.“
Team structure
Client team
V M
CEO and Founder
The client stakeholders at Cognee were working closely with the team at Rubix Code DOO
Agency team
AI Developer
Production
