Knowunity
Personalized tutoring
Classrooms with 1:30 ratios left students behind. Now, 350M monthly queries route to specialized models for personalized tutoring.
- 350M monthly AI requests processed
- 0.5 grade point improvement for students
Class sizes left the "middle 80%" of students unseen. AI agents now coach learners, surfacing gaps for immediate human intervention.
An education technology provider reaching 1 million classrooms across 80+ countries through partnerships with over 500 institutions.
Rising class sizes and limited budgets made it impossible for teachers to provide personalized guidance to every student, often leaving the middle 80...
“We’ve done a lot of work to make AI not do things for you. If AI just gives the student the answer, we’ve failed—the point of teaching is to coach and to keep them engaged in the work.”
AI teaching assistant and interactive learning platform for K-12 classrooms.
AI research and deployment company developing generative models and tools.
SchoolAI's Personalized learning assistant is part of this use case:
Related implementations across industries and use cases
Classrooms with 1:30 ratios left students behind. Now, 350M monthly queries route to specialized models for personalized tutoring.
800-student courses, limited TAs. AI grader clusters mistakes for instructor review; students get 24/7 tutoring that insists they think first.
Generic voices and lag broke immersion. Cloned AI personas now power real-time roleplay, cutting voice costs by 40%.
Classrooms with 1:30 ratios left students behind. Now, 350M monthly queries route to specialized models for personalized tutoring.
Static videos left students stuck. AI now answers questions based on the exact video moment, raising exam scores from 5.0 to 6.9.
Deal data scattered across systems kept sellers from districts. AI unified it—leadership moved from retrospective reports to live intel.
Consultative selling couldn't scale. AI now tags thousands of meeting recordings to targeted skills so managers can actively coach.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Class sizes left the "middle 80%" of students unseen. AI agents now coach learners, surfacing gaps for immediate human intervention.
An education technology provider reaching 1 million classrooms across 80+ countries through partnerships with over 500 institutions.
Rising class sizes and limited budgets made it impossible for teachers to provide personalized guidance to every student, often leaving the middle 80...
“We’ve done a lot of work to make AI not do things for you. If AI just gives the student the answer, we’ve failed—the point of teaching is to coach and to keep them engaged in the work.”
AI teaching assistant and interactive learning platform for K-12 classrooms.
AI research and deployment company developing generative models and tools.
SchoolAI's Personalized learning assistant is part of this use case:
Related implementations across industries and use cases
Classrooms with 1:30 ratios left students behind. Now, 350M monthly queries route to specialized models for personalized tutoring.
800-student courses, limited TAs. AI grader clusters mistakes for instructor review; students get 24/7 tutoring that insists they think first.
Generic voices and lag broke immersion. Cloned AI personas now power real-time roleplay, cutting voice costs by 40%.
Classrooms with 1:30 ratios left students behind. Now, 350M monthly queries route to specialized models for personalized tutoring.
Static videos left students stuck. AI now answers questions based on the exact video moment, raising exam scores from 5.0 to 6.9.
Deal data scattered across systems kept sellers from districts. AI unified it—leadership moved from retrospective reports to live intel.
Consultative selling couldn't scale. AI now tags thousands of meeting recordings to targeted skills so managers can actively coach.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.