Building the future of learning, from knowledge to competence

Most learning systems deliver information. They do not build understanding.

We believe learning should explain, respond, and guide thinking, like a real instructor, not a static system.

Our philosophy

Most learning systems are designed to deliver content, not to build understanding. They scale information efficiently, but they do not respond, adapt, or verify whether learning has actually happened.

Why we started Euleris

When something is unclear, the system keeps moving. There is no explanation, no adjustment, no feedback loop. Learners are left to interpret, guess, and move forward without clarity. This is why training often feels complete, but understanding is not. Completion is measured, but comprehension is assumed. We believe learning should work differently. It should explain, respond, and guide thinking like a real instructor would.

Euleris is inspired by the work of Leonhard Euler, whose approach to mathematics emphasized clarity, structure, and the transformation of complex ideas into understandable forms. That influence, which also connects to the academic lineage of both founders, reinforces a simple belief: understanding should not be left to chance, it should be built, step by step.

Our approach

To build understanding, learning must behave differently. It must move beyond static content and become an active, guided process.

Explanation, not presentation

Concepts should be explained step by step, not simply presented. When something is unclear, the system should clarify before moving forward.

Interaction, not passivity

Learning should require engagement. The learner should think, respond, and actively work through ideas, not just consume them.

Feedback, not assumption

Understanding should be verified continuously. The system should check comprehension and adjust based on the learner's response.

Progression, not completion

Learning should advance based on understanding, not on finishing content. Progress should reflect clarity, not time spent.

What we build

We are building a new system for learning, one that behaves less like content delivery and more like guided instruction.

A system that explains, responds, and adapts. A system that verifies understanding before progressing. A system that supports how people actually learn.

In this model, learning is no longer passive. It becomes interactive, structured, and continuously reinforced.

And because it is system-driven, it can scale, without losing the depth and clarity of real teaching.

Our Team

Meet the passionate individuals behind Euleris, working together to transform the future of personalized learning. Our team represents a perfect balance of expertise—AI engineers, scientists, and educators—united by a shared mission to revolutionize training through intelligent, competency-based interactive learning.

Giri Narasimhan, PhD.

Giri Narasimhan, PhD.

CEO

Distinguished University Professor, 35 yrs academic experience, 5 books, 200+ publications.

Vitalii Stebliankin, PhD.

Vitalii Stebliankin, PhD.

CTO

Ph.D. in Computer Science, expert in AI & Deep Learning, Ex Amazon scientist, 25+ publications.

Kalai Mathee, PhD.

Kalai Mathee, PhD.

Director of Strategic Initiatives

Professor of Molecular Microbiology & Infectious Diseases, 100+ publications, several patents, and fellowships.

Tarun Munduri

Tarun Munduri

AI Engineer

MS in Data Science. ML product development and research experience

Ankur Chemburkar

Ankur Chemburkar

AI Engineer

MS in Artificial Intelligence. Startup experience in Tech. Published Researcher in Gen AI

Guillian Villasenor

Guillian Villasenor

Lead UI/UX Designer

Lorena Quincoso Lugones

Lorena Quincoso Lugones

Full-Stack Engineer

Ekaterina Stebliankina

Ekaterina Stebliankina

Full-Stack Engineer

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