Real-time voice agents across 40+ languages
Natural, human-like voice agents for sales and support: low-latency, multilingual, and integrated with enterprise data, including Gemini Enterprise on Google Cloud.
Problem and challenges
Real-time voice is unforgiving. Latency is felt in milliseconds, interruptions have to be handled gracefully, and the agent must reach into live enterprise data mid-conversation. For sales and support across many languages, “good enough” patterns from text simply don’t survive.
Solution
We delivered real-time voice agents with natural, human-like interaction across 40+ languages, including Gemini Enterprise deployments in partnership with Google Cloud. The focus was engineering: holding a strict latency budget, handling turn-taking and barge-in, and integrating cleanly with enterprise data so the conversation is grounded and useful.
System design
- Low-latency streaming speech pipeline with explicit latency budgets
- Turn-taking and barge-in handling for natural conversation
- Multilingual support spanning 40+ languages
- Integration with enterprise data and downstream systems
Outcome
- Production voice agents for sales and support
- Natural, low-latency, multilingual interaction
- Gemini Enterprise deployment on Google Cloud
- Seamless integration with enterprise data sources
Why it mattered
Voice only works when it feels human and stays grounded. By engineering latency, turn-taking, and data integration together, the agents hold real conversations at scale across languages and channels instead of reading from a script.
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