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.
Missed names and numbers on noisy calls broke workflows. Now, AI accurately transcribes live speech, routing complex cases to humans.
Without emotional warmth, users felt self-conscious during personal AI chats. Expressive text-to-speech made conversations feel human.
Missed names and numbers on noisy calls broke workflows. Now, AI accurately transcribes live speech, routing complex cases to humans.
Clients were limited to 9-5 support. Now, natural AI agents handle full voice conversations 24/7, solving global availability.
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.
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.
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.
Missed names and numbers on noisy calls broke workflows. Now, AI accurately transcribes live speech, routing complex cases to humans.
Without emotional warmth, users felt self-conscious during personal AI chats. Expressive text-to-speech made conversations feel human.
Missed names and numbers on noisy calls broke workflows. Now, AI accurately transcribes live speech, routing complex cases to humans.
Clients were limited to 9-5 support. Now, natural AI agents handle full voice conversations 24/7, solving global availability.
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.
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.