Why we built this.
Every student deserves to know how they are doing. Every parent deserves to be informed. And every community deserves technology that was built for them, not adapted from something that was not.
TBAI started with a simple observation: every tutoring session contains a goldmine of signal about how a student is learning. Skill mastery, confidence, stress, breakthroughs. But that signal almost never makes it to the people who need it. Tutors are too busy. Reports take time. Parents are left in the dark. And the hour ends before anyone can act.
We set out to fix that by rebuilding tutoring around AI: session intelligence, skill diagnosis, a well-being lens, and a plan engine that delivers a measurable next step minutes after class. And when we thought about who needed this most, the answer was clear: Indigenous students and communities, chronically underserved by edtech that was never designed with them in mind.
So we built TBAI differently. With language support. With data sovereignty. With extended family access. With the understanding that education is not just individual. It is communal.
"The goal was never to build another edtech tool. It was to build something a community could actually trust."The thinking behind TBAI