Static videos left students stuck. AI now answers questions based on the exact video moment, raising exam scores from 5.0 to 6.9.
A Dutch educational organization dedicated to reducing inequality faced scaling limits with its original model of in-person intensive learning festivals.
Shifting to online learning failed to replicate classroom interactivity, as students watching static videos could not ask questions when they...
“We want to offer this chance to overcome failure by having access to different pedagogical approaches to every child and ensure that no talent is wasted simply because the system lacks the resources to adapt teaching to each student's level of understanding.”
AI-powered learning platform for secondary education students and teachers.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
BeSmart Campus's Personalized student tutoring 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.
Class sizes left the "middle 80%" of students unseen. AI agents now coach learners, surfacing gaps for immediate human intervention.
Role-play felt awkward and inauthentic. AI agents now simulate realistic calls, coaching reps on tone and objections at scale.
Classrooms with 1:30 ratios left students behind. Now, 350M monthly queries route to specialized models for personalized tutoring.
Class sizes left the "middle 80%" of students unseen. AI agents now coach learners, surfacing gaps for immediate human intervention.
Consultative selling couldn't scale. AI now tags thousands of meeting recordings to targeted skills so managers can actively coach.
Agents juggling 8+ tools struggled to keep pace. Now, AI handles 35% of chats, letting the team resolve complex issues 58% faster.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
Static videos left students stuck. AI now answers questions based on the exact video moment, raising exam scores from 5.0 to 6.9.
A Dutch educational organization dedicated to reducing inequality faced scaling limits with its original model of in-person intensive learning festivals.
Shifting to online learning failed to replicate classroom interactivity, as students watching static videos could not ask questions when they...
“We want to offer this chance to overcome failure by having access to different pedagogical approaches to every child and ensure that no talent is wasted simply because the system lacks the resources to adapt teaching to each student's level of understanding.”
AI-powered learning platform for secondary education students and teachers.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
BeSmart Campus's Personalized student tutoring 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.
Class sizes left the "middle 80%" of students unseen. AI agents now coach learners, surfacing gaps for immediate human intervention.
Role-play felt awkward and inauthentic. AI agents now simulate realistic calls, coaching reps on tone and objections at scale.
Classrooms with 1:30 ratios left students behind. Now, 350M monthly queries route to specialized models for personalized tutoring.
Class sizes left the "middle 80%" of students unseen. AI agents now coach learners, surfacing gaps for immediate human intervention.
Consultative selling couldn't scale. AI now tags thousands of meeting recordings to targeted skills so managers can actively coach.
Agents juggling 8+ tools struggled to keep pace. Now, AI handles 35% of chats, letting the team resolve complex issues 58% faster.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.