Low-latency speech
Streaming synthesis in a dedicated worker for uninterrupted audio.
Voice AI
Voice AI agents that answer, book, and follow up on their own
A voice agent is only useful if it sounds natural, responds without an awkward pause, and gives answers that are actually true. Nonilion's voice AI agents stream speech from a dedicated worker so audio stays smooth, ground every answer in your own knowledge base, and complete the errand — booking the meeting, sending the reminder, escalating to a human when the question goes beyond what they know.
What is a voice AI agent?
A voice AI agent is an autonomous assistant that communicates through speech instead of text. It transcribes what a caller says, decides how to respond, speaks back in synthesized voice, and can take actions such as scheduling a meeting or routing the conversation to a person.
Latency is the whole experience
People forgive an imperfect answer far sooner than a two-second silence. Nonilion runs speech synthesis in a dedicated worker so the main thread stays free and the audio pipeline never stutters, which keeps a conversation feeling like a conversation instead of a walkie-talkie exchange.
- Streaming synthesis so speech begins before the full reply is ready.
- Audio isolated from UI work to prevent dropouts mid-sentence.
- Natural turn-taking rather than rigid press-to-talk.
Grounded answers, not confident guesses
The agent retrieves from your connected knowledge base before it answers, using hybrid search over your actual documents. When a question falls outside what it can support, it says so and hands off rather than inventing a plausible answer — which matters most in exactly the customer-facing cases where voice agents are deployed.
It finishes the errand
Answering is half the job. A reception agent can check availability, book the meeting, send the confirmation, and fire the reminder ahead of time. Scheduling and reminders run on their own cadence, so follow-up does not depend on anyone remembering.
Escalation is a feature, not a failure
Good voice agents know their boundary. When intent is unclear, the request is sensitive, or the caller asks for a person, the agent routes to a human with the conversation context attached so the handoff does not restart from zero.
What you get
Knowledge grounding
Hybrid retrieval over your documents before the agent answers.
Meeting booking
Checks availability, schedules, and confirms without a human.
Automated reminders
Scheduled follow-up so commitments are not forgotten.
Human escalation
Routes to a person with full conversation context attached.
Spatial audio rooms
Voice agents join the same live rooms as your team.
Frequently asked questions
Will callers be able to tell it is an AI voice agent?
Often yes, and that is fine — the thing that frustrates callers is not knowing they are talking to AI, it is long pauses, wrong answers, and no route to a human. Nonilion's voice agents are built around low latency, grounded answers, and clean escalation for exactly that reason.
Can a voice agent book meetings on a real calendar?
Yes. The agent can check availability, book the meeting, send the confirmation, and schedule a reminder ahead of the appointment.
What stops the agent from making up an answer?
It retrieves from your knowledge base before responding, and when a question is not supported by that material it says so and escalates instead of guessing.
Which voice and language models does it use?
Voice agents run on your connected provider keys, so you choose the model. Speech synthesis runs locally in a worker, which is what keeps latency low and audio stable.
Can it hand off to a human mid-conversation?
Yes, and the handoff carries the conversation context so the person picking up does not have to ask the caller to start over.
Related capabilities
A multimodal AI workspace that hears, sees, and responds in real time
Multimodal AI describes systems that work across more than one kind of input or output — text, speech, images, screens, and video — in a single reasoning process. Instead of transcribing audio and handing text to a separate model, a multimodal system treats voice, visuals, and text as one connected context.
AI employees that hold a role instead of answering a prompt
AI employees, sometimes called AI coworkers or digital workers, are autonomous agents assigned a standing role rather than one-off tasks. Each has defined responsibilities, access to the tools and knowledge its job requires, and a reporting rhythm — closer to a job description than a prompt.
AI agents for teams that share your context, not just your prompts
AI agents for teams are shared autonomous assistants that operate on a team's collective context rather than one person's chat history. They hold defined responsibilities, access shared knowledge and tools, and deliver output into a common workspace so the whole team benefits from the same work.
An agentic AI platform where agents actually finish the work
An agentic AI platform is software that lets AI agents pursue goals autonomously instead of answering one prompt at a time. It gives agents tools, memory, and permission boundaries so they can plan a task, execute multiple steps, recover from errors, and hand back a finished result.
Try a voice agent free
Voice rooms are included on the free tier — connect a key and talk to it.
