Deepgram

By integrating with Deepgram’s speech-to-text (STT) APIs, our voice AI agents gain the ability to understand callers with exceptional speed and accuracy. Deepgram’s real-time transcription allows the AI to convert spoken language into text with very low latency, enabling natural, uninterrupted conversations. For home and automotive service franchises—where calls are often urgent, emotional, or noisy—this ensures the AI can keep up with fast talkers, interruptions, and incomplete sentences without losing context.

Deepgram’s domain-adaptable models are especially well suited for service-oriented calls. Our agents can accurately capture industry-specific terminology such as vehicle parts, service types, street names, landmarks, and regional accents. This precision is critical when collecting addresses, diagnosing issues, or confirming job details, and it dramatically reduces errors that lead to misrouted dispatches, incorrect bookings, or frustrated customers.

With reliable, real-time transcription as the foundation, our AI agents can reason, respond, and act immediately—asking clarifying questions, extracting structured data, and triggering next steps while the call is still in progress. The result is a voice experience that feels fluid and human to callers, while giving franchise operators confidence that every word is captured correctly and every conversation can translate into accurate scheduling, dispatch, and follow-up.