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We start by defining the assistant's scope, vocabulary, integration points, and tone of voice. We establish the target persona and select the optimal speech synthesis voices.
We configure the speech-to-text and text-to-speech pipelines using technologies like Whispers, OpenAI, or Google Cloud. We optimize latency by setting up raw audio streaming interfaces.
We design the conversation flows and connect them to large language models for intent parsing. The system is programmed to handle interruptions and maintain memory across turns.
We connect the voice assistant to your internal databases, CRMs, and APIs. The agent is trained to execute database searches and complete transactions based on spoken commands.
We test the voice assistant in real-world environments with varying background noise levels. We tune voice activity detection and caching to bring round-trip latency under one second.
We deploy the voice solution as a scalable web service or telephone gateway. Conversational logs and speech recognition error rates are continuously monitored for ongoing improvement.
We believe in radical transparency. You'll always know where your project stands and what comes next.
Progress reports every week
Communicate with your team
Clear deliverable checkpoints
Complete technical handoff
Let's begin with a conversation about your project goals.