Users hung up on lagging voice agents. Speculative decoding on NVIDIA B200s cut latency from seconds to <400ms.
A conversational AI platform processes tens of millions of interactions annually for enterprises like Avis and Chime, achieving deflection rates over 80%.
Voice interfaces are unforgiving, where latency measured in seconds causes users to talk over the agent or hang up. Orchestrating a complex stack of...
Generative AI platform for automated enterprise customer support and workflows.
AI-native cloud platform for training, fine-tuning, and deploying open-source models.
Decagon's real-time voice support is part of this use case:
Related implementations across industries and use cases
Without emotional warmth, users felt self-conscious during personal AI chats. Expressive text-to-speech made conversations feel human.
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Model tuning took weeks, slowing market entry. On Bedrock, updates take days, cutting costs 50% and boosting retention 75% for telecom.
Agents managed just 90 queries daily. Voice AI now handles 3,000 calls a day in 32 languages, freeing staff for complex account work.
35M customers waited in queues for payment updates. Now, a voice agent resolves routine calls instantly, leaving complex issues to humans.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Users hung up on lagging voice agents. Speculative decoding on NVIDIA B200s cut latency from seconds to <400ms.
A conversational AI platform processes tens of millions of interactions annually for enterprises like Avis and Chime, achieving deflection rates over 80%.
Voice interfaces are unforgiving, where latency measured in seconds causes users to talk over the agent or hang up. Orchestrating a complex stack of...
Generative AI platform for automated enterprise customer support and workflows.
AI-native cloud platform for training, fine-tuning, and deploying open-source models.
Decagon's real-time voice support is part of this use case:
Related implementations across industries and use cases
Without emotional warmth, users felt self-conscious during personal AI chats. Expressive text-to-speech made conversations feel human.
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Model tuning took weeks, slowing market entry. On Bedrock, updates take days, cutting costs 50% and boosting retention 75% for telecom.
Agents managed just 90 queries daily. Voice AI now handles 3,000 calls a day in 32 languages, freeing staff for complex account work.
35M customers waited in queues for payment updates. Now, a voice agent resolves routine calls instantly, leaving complex issues to humans.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.