The Academic AI Platform
That Never Leaves the Syllabus

Before founding Akademai, we were brought in by Tel Aviv University to accelerate the time-critical productization and deployment of an internal AI learning platform that had been developed by M.A. and Ph.D. students from different academic fields. Taking a deeply hands-on approach, we enhanced the core system, rebranded the platform internally as "Study Buddy" and drove widespread adoption across departments. We managed the rigorous rollout course by course across 80 different courses, working closely with instructors to secure their vital buy-in and approval.

That work gave us a close, firsthand view of how students and faculty alike are dealing with a fast-evolving AI landscape, and how each is learning to adapt to it. And it revealed something larger than the system we were deploying: a broad, university-wide need that called for a different kind of solution.

Akademai is that solution. It is a next-generation platform engineered entirely from scratch to address a massive, systemic need we identified. While that initial experience validated the market demand, Akademai was built from the ground up to transcend the scope of any single institution's internal system, delivering a fundamentally new, AI-First architecture built for global scale, one where AI is the core engine of the platform rather than a feature bolted onto legacy software.