Our Mission

Instructional coaching is one of the most effective ways to grow as a teacher, but it doesn't scale. Mentors are stretched across hundreds of pre-service teachers, evaluations are inconsistent and subjective, and feedback often arrives weeks after a lesson, once the moment to improve has already passed. That gap doesn't just slow teachers down; it shapes how confident they feel walking into a classroom, and how ready they are on day one.

TeachPert analyzes real classroom sessions using computer vision and speech AI, then extracts objective metrics like pacing, engagement, and clarity, never subjective judgments. A trained model tracks classroom behavior and movement, while precise audio timestamping keeps every insight accurate to the second. The result is structured, evidence-based feedback delivered in minutes instead of weeks. The same rigor as a trained mentor, without the wait or the bottleneck.

Teachers get feedback while it still matters, with less bias and more confidence and early, structured support like this is exactly what keeps new teachers in the profession instead of burning out in their first few years. Institutions can evaluate every classroom at scale, freeing mentors to focus on real coaching instead of paperwork. And because it only needs a device and an internet connection, TeachPert works just as well in a resource-limited school as in a fully-equipped university, anywhere in the world.