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.
Generic voices and lag broke immersion. Cloned AI personas now power real-time roleplay, cutting voice costs by 40%.
800-student courses, limited TAs. AI grader clusters mistakes for instructor review; students get 24/7 tutoring that insists they think first.
Classrooms with 1:30 ratios left students behind. Now, 350M monthly queries route to specialized models for personalized tutoring.
Spotting the right practices by hand couldn't keep pace with international expansion. AI scores each — sales now targets only the top 20%.
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.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
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.
Generic voices and lag broke immersion. Cloned AI personas now power real-time roleplay, cutting voice costs by 40%.
800-student courses, limited TAs. AI grader clusters mistakes for instructor review; students get 24/7 tutoring that insists they think first.
Classrooms with 1:30 ratios left students behind. Now, 350M monthly queries route to specialized models for personalized tutoring.
Spotting the right practices by hand couldn't keep pace with international expansion. AI scores each — sales now targets only the top 20%.
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.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.