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
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.
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Typing friction limited query depth. Now, analysts speak complex requests to screen stocks and analyze filings in real time.
Agents managed just 90 queries daily. Voice AI now handles 3,000 calls a day in 32 languages, freeing staff for complex account work.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Reps struggled to match thousands of use cases. AI now scans 1,500 accounts for triggers and drafts pitches, saving 10+ hours weekly.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
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
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.
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Typing friction limited query depth. Now, analysts speak complex requests to screen stocks and analyze filings in real time.
Agents managed just 90 queries daily. Voice AI now handles 3,000 calls a day in 32 languages, freeing staff for complex account work.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Reps struggled to match thousands of use cases. AI now scans 1,500 accounts for triggers and drafts pitches, saving 10+ hours weekly.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.