Phone-based onboarding sounded robotic across three languages. Natural AI voices turned calls into conversations frontline workers trust.
A workforce engagement platform that hires, onboards, and manages India's frontline workers primarily through phone-based voice interactions across Hindi, English, and Tamil.
Operating entirely over phone calls, the platform needed voice interactions that feel credible and natural across three languages. Robotic-sounding...
“At Hunar, our mission is to build meaningful workforce engagement for India's frontline ecosystem, and ElevenLabs has helped us strengthen a key part of that experience through more natural voice interactions.”
AI platform for frontline workforce hiring, onboarding, and management.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Hunar AI's Voice agents is part of this use case:
Related implementations across industries and use cases
Voice integration demanded 400 lines of code. A pre-built framework cuts that to 40, enabling rapid agent deployment.
Without emotional warmth, users felt self-conscious during personal AI chats. Expressive text-to-speech made conversations feel human.
Legacy models caused 41 escalated cases. A 90-day switch to cloud AI restored accuracy and enabled real-time analytics.
Callers instantly hang up on robotic voices. Emotive AI voices with regional accents now hold natural, real-time conversations.
Email moved some customers; calls moved more—but not at 350K accounts. An AI voice agent ran the calls: 33% answered, 3%+ activated.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
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.
Phone-based onboarding sounded robotic across three languages. Natural AI voices turned calls into conversations frontline workers trust.
A workforce engagement platform that hires, onboards, and manages India's frontline workers primarily through phone-based voice interactions across Hindi, English, and Tamil.
Operating entirely over phone calls, the platform needed voice interactions that feel credible and natural across three languages. Robotic-sounding...
“At Hunar, our mission is to build meaningful workforce engagement for India's frontline ecosystem, and ElevenLabs has helped us strengthen a key part of that experience through more natural voice interactions.”
AI platform for frontline workforce hiring, onboarding, and management.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Hunar AI's Voice agents is part of this use case:
Related implementations across industries and use cases
Voice integration demanded 400 lines of code. A pre-built framework cuts that to 40, enabling rapid agent deployment.
Without emotional warmth, users felt self-conscious during personal AI chats. Expressive text-to-speech made conversations feel human.
Legacy models caused 41 escalated cases. A 90-day switch to cloud AI restored accuracy and enabled real-time analytics.
Callers instantly hang up on robotic voices. Emotive AI voices with regional accents now hold natural, real-time conversations.
Email moved some customers; calls moved more—but not at 350K accounts. An AI voice agent ran the calls: 33% answered, 3%+ activated.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
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.