Static modules lacked depth for 500M roles. AI now drives custom, multilingual voice interviews with sub-180ms latency.
India’s leading job search and careers platform serves over 60 million users and connects 10,000 companies across 30,000 distinct roles.
Providing realistic practice for millions of candidates required simulating interviews across 500 million potential role-company combinations, from...
“Each synthesized response begins playback within ~150–180 ms, thanks to ElevenLabs’ low-latency APIs integrated directly into Apna and Blue Machines’ orchestration layer.”
Professional networking and recruitment platform for India's workforce.
Built the orchestration platform and RAG graph for Apna's AI interview ecosystem.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Apna's Interview preparation is part of this use case:
Related implementations across industries and use cases
Text chat lacked connection. AI now captures the empathy and tone of celebrity instructors for real-time, conversational coaching.
Manual calls couldn't meet warehouse demand. AI now conducts 50k multilingual interviews monthly, automating 85% of worker vetting.
Five-fold growth created service bottlenecks for agents. Now, an AI agent handles routine questions, freeing the team for complex problems.
Text chat lacked connection. AI now captures the empathy and tone of celebrity instructors for real-time, conversational coaching.
Without emotional warmth, users felt self-conscious during personal AI chats. Expressive text-to-speech made conversations feel human.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Static modules lacked depth for 500M roles. AI now drives custom, multilingual voice interviews with sub-180ms latency.
India’s leading job search and careers platform serves over 60 million users and connects 10,000 companies across 30,000 distinct roles.
Providing realistic practice for millions of candidates required simulating interviews across 500 million potential role-company combinations, from...
“Each synthesized response begins playback within ~150–180 ms, thanks to ElevenLabs’ low-latency APIs integrated directly into Apna and Blue Machines’ orchestration layer.”
Professional networking and recruitment platform for India's workforce.
Built the orchestration platform and RAG graph for Apna's AI interview ecosystem.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Apna's Interview preparation is part of this use case:
Related implementations across industries and use cases
Text chat lacked connection. AI now captures the empathy and tone of celebrity instructors for real-time, conversational coaching.
Manual calls couldn't meet warehouse demand. AI now conducts 50k multilingual interviews monthly, automating 85% of worker vetting.
Five-fold growth created service bottlenecks for agents. Now, an AI agent handles routine questions, freeing the team for complex problems.
Text chat lacked connection. AI now captures the empathy and tone of celebrity instructors for real-time, conversational coaching.
Without emotional warmth, users felt self-conscious during personal AI chats. Expressive text-to-speech made conversations feel human.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.