Building custom speech infrastructure risked draining engineering. An API-first voice layer refocused developers on core orchestration.
An early-stage software company builds autonomous voice agents that manage end-to-end enterprise operations, from calling suppliers to updating internal systems.
Building custom real-time speech infrastructure for these agents was estimated to take 8 to 12 weeks. This requirement threatened to drain...
“The first time a customer talked through their workflow and saw a structured process map come back in minutes, the room went quiet. That's when we knew voice wasn't a feature, it was the interface. ElevenLabs made it possible to ship that experience in a week.”
AI platform for customer success automation and churn risk detection.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Duvo'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.
Phone-based onboarding sounded robotic across three languages. Natural AI voices turned calls into conversations frontline workers trust.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Phone-based onboarding sounded robotic across three languages. Natural AI voices turned calls into conversations frontline workers trust.
Typing friction limited query depth. Now, analysts speak complex requests to screen stocks and analyze filings in real time.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Marketers spent two weeks manually updating battlecards. Now, AI synthesizes scattered win-loss signals to refresh them in hours.
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.
Building custom speech infrastructure risked draining engineering. An API-first voice layer refocused developers on core orchestration.
An early-stage software company builds autonomous voice agents that manage end-to-end enterprise operations, from calling suppliers to updating internal systems.
Building custom real-time speech infrastructure for these agents was estimated to take 8 to 12 weeks. This requirement threatened to drain...
“The first time a customer talked through their workflow and saw a structured process map come back in minutes, the room went quiet. That's when we knew voice wasn't a feature, it was the interface. ElevenLabs made it possible to ship that experience in a week.”
AI platform for customer success automation and churn risk detection.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Duvo'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.
Phone-based onboarding sounded robotic across three languages. Natural AI voices turned calls into conversations frontline workers trust.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Phone-based onboarding sounded robotic across three languages. Natural AI voices turned calls into conversations frontline workers trust.
Typing friction limited query depth. Now, analysts speak complex requests to screen stocks and analyze filings in real time.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Marketers spent two weeks manually updating battlecards. Now, AI synthesizes scattered win-loss signals to refresh them in hours.
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.