About us

BRIDGING THE ANALYTICS SKILLS GAP

Since the advent of computers and databases, the ability to access and manipulate data has been the privilege of a few technical people. The analytics industry has been trying for decade to solve that problem, using semantic layers, UIs, and dashboards, with very limited success. Today, every organization in the world has dashboards, but the vast majority of the workforce still struggle to access the right data at the right time.

With the spectacular development in AI, large language models (LLMs) looked like the ideal candidate to solve that problem. However, their incurable tendency to deliver misleading or downright wrong information convincingly – aka hallucinations – turned out to be a dealbreaker for data analytics: organizations need factual answers to make sound business decisions.

At Selfr we are pushing the boundaries of existing AI technology and developing unique proprietary architectures that are able to totally eliminate hallucinations. We envision a world where AI is finally able to deliver trusted factual answers without constantly requiring human supervision.

Backed by

Alumni

Nour Lake - CEO

4x founder and experienced startup operator, Nour studied engineering and specialized in logistics and operations research. He started his career in futures trading and hedge fund management, and later spent a decade in the data space. He is passionate about user experience design and its intersection with data.

Naim Kosayyer - CTO

Accomplished scientist with 4 masters degrees in theoretical physics, quantum physics, machine learning, and entrepreneurship, he started his career building automated trading systems, and went on to built predictive maintenance algorithms (some of which are still running on aircraft carriers).