Izhaar Tejani
Izhaar Tejani

Izhaar Tejani

“Stop saying ‘I can’t.’
Start asking ‘How can I?’”
About

Izhaar works with founders, CEOs, and their boards to help them materialize their bold and ambitious visions. He has extensive experience in technology development, business strategy, day to day operations, and has raised eight figures of capital for the ventures he has helped build.

He started his career interning at McKinsey & Company and advising the Canadian Government on Artificial Intelligence public policy after the ImageNet Breakthrough at the University of Toronto. Immediately after, he started building an AI company from zero to eight figures which invented a breakthrough technology to help hundreds of thousands of people identify their medical conditions using deep learning and reinforcement learning agents. With no formal training in computer science or medicine, he authored three peer-reviewed clinical studies with U.S. Medical Centers, which were cited by Harvard, Tsinghua, and the CDC.

Previously, Izhaar helped build a music publishing company, resulting in the release of a hit record with Drake that reached #1 on the Billboard Rhythmic Songs Chart, over 1B streams on Apple Music and Spotify, and 6X platinum RIAA Certification. He also supports the founder of a consumer packaged goods company, which he helped build from idea to the #1 best-selling product at 7-Eleven in Canada.

In 2025, he architected a viral social media campaign for a London, UK-based artist that garnered over 50M views and 200k followers in three months. Most recently, he helped a SaaS company secure a seven-figure seed round to provide infrastructure for AI Agents on the internet.

In 2026, his life’s work was publicized by Nobel Laureate Geoffrey Hinton, the “Godfather of AI,” in an interview he gave to millions of listeners. He is incredibly fortunate to have had the people he looked up to as a child support his career, including Jeff Dean and Daniel Kottke.

Notable Work
GoogleGoogle
NVIDIANVIDIA
OVOOctober's Very Own
TsinghuaTsinghua University
MSKMSK Cancer Center
StanfordStanford Medicine
HarvardHarvard Medical School
AutoGPTAutoGPT