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
Rigid scripts failed to teach speaking. A multi-agent system now improvises dialogue and adapts lessons based on real-time fluency.
A language learning platform serving millions of users across nine languages, from students preparing for exams to immigrants navigating new countries.
Learners often mastered reading and writing but struggled to speak confidently in real-world situations. Early rule-based chatbots could not bridge...
“Learning English was never just about communication. It opened doors to international work and career growth.”
AI avatar platform for conversational language learning and personalized tutoring.
AI research and deployment company developing generative models and tools.
Praktika's Language 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%.
Class sizes left the "middle 80%" of students unseen. AI agents now coach learners, surfacing gaps for immediate human intervention.
Letting students build AI bots risked generating harmful content. Now, real-time safety models filter all outputs for 330k+ learners.
Coaching couldn't keep pace across 30+ markets. AI voice agents let reps rehearse client calls in 15+ languages, on demand.
Agents juggling 8+ tools struggled to keep pace. Now, AI handles 35% of chats, letting the team resolve complex issues 58% faster.
Manual spot-checks missed duplicates. AI now audits 100% of spend, catching $20k in errors and reclaiming 160 hours for analysis.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.
Rigid scripts failed to teach speaking. A multi-agent system now improvises dialogue and adapts lessons based on real-time fluency.
A language learning platform serving millions of users across nine languages, from students preparing for exams to immigrants navigating new countries.
Learners often mastered reading and writing but struggled to speak confidently in real-world situations. Early rule-based chatbots could not bridge...
“Learning English was never just about communication. It opened doors to international work and career growth.”
AI avatar platform for conversational language learning and personalized tutoring.
AI research and deployment company developing generative models and tools.
Praktika's Language 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%.
Class sizes left the "middle 80%" of students unseen. AI agents now coach learners, surfacing gaps for immediate human intervention.
Letting students build AI bots risked generating harmful content. Now, real-time safety models filter all outputs for 330k+ learners.
Coaching couldn't keep pace across 30+ markets. AI voice agents let reps rehearse client calls in 15+ languages, on demand.
Agents juggling 8+ tools struggled to keep pace. Now, AI handles 35% of chats, letting the team resolve complex issues 58% faster.
Manual spot-checks missed duplicates. AI now audits 100% of spend, catching $20k in errors and reclaiming 160 hours for analysis.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.