Gemini powers every conversation your Fluents voice agent has — from the first word to the final summary.
Fluents is Built on Google Gemini
Fluents uses Google Gemini as its core conversation engine. Every call your voice AI agent handles — whether it's a healthcare receptionist managing inbound patient inquiries or an insurance agent running outbound claims follow-up — is understood, reasoned, and responded to by Gemini.
Gemini's multimodal reasoning and long-context capabilities allow Fluents agents to handle complex, multi-turn conversations, track what was said earlier in a call, and respond naturally even when conversations take unexpected turns. It's not a chatbot bolted onto a phone line — it's a purpose-built voice AI powered by one of the most capable language models in the world.
Gemini drives natural language understanding on every Fluents call — handling accents, interruptions, and complex multi-turn conversations without losing context
Long-context reasoning allows Fluents agents to remember everything said earlier in a call and use it to guide the conversation toward the right outcome
Gemini's instruction-following capabilities let Fluents agents stay on-task — qualifying a lead, completing an intake, or confirming an appointment — without going off-script
Healthcare: Understanding Patients, Not Just Words
A patient calling to reschedule an appointment might say 'I can't make Tuesday, can we do something in the afternoon later this week?' Gemini understands the intent, the constraint, and the implied request — and the Fluents agent responds accordingly, checking availability and offering options without asking clarifying questions the patient already answered. This level of natural conversation handling is only possible with a frontier language model at the core.
Insurance: Completing Complex Intake Without a Script
FNOL intake calls involve gathering specific information — incident date, involved parties, vehicle details, location, witness information — across a conversation that rarely follows a linear path. Gemini allows the Fluents agent to track what's been collected, recognize when a required field has been answered indirectly, and guide the conversation to completion without sounding like a form being read aloud. The result is a complete, structured intake record extracted from a natural conversation.
Legal: Qualifying Leads Across Unpredictable Conversations
Prospective legal clients don't describe their situation using intake form fields. They tell a story. Gemini's reasoning capabilities allow the Fluents agent to extract the legally relevant details — injury type, liability, timeline, damages — from a narrative description, classify the lead, and surface the key facts for the attorney. The conversation feels like talking to a knowledgeable intake specialist, not filling out a form by phone.
Why Gemini Powers Fluents and Not a Generic LLM
Fluents chose Gemini as its conversation engine because of its performance on instruction-following, long-context retention, and real-time inference speed. Voice AI demands low latency — pauses in conversation feel unnatural. Gemini's architecture delivers the reasoning quality of a frontier model at the response speed that real phone conversations require.