Spatial audio rooms
Real-time voice where position matters, so large rooms stay legible.

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Contacting Nonilion systems...
Multimodal AI
Text-only AI misses most of how teams actually communicate. Nonilion is a multimodal AI workspace: agents join live rooms with spatial audio, listen and speak in natural voice, read what is on a shared screen, work on the same whiteboard, and produce documents, video, and code as output. One workspace instead of a voice tool, a transcription tool, a chat assistant, and a media editor that never talk to each other.
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.
Meetings are voice. Reviews are screens. Documentation is text. Marketing is video and image. A workspace that only understands text forces a human to translate between all of them. Nonilion handles them together so context is not lost at each handoff.
Nonilion's voice agents run on streaming speech synthesis in a dedicated worker, which keeps audio smooth while the rest of the room stays responsive. An agent can take a call, answer questions grounded in your knowledge base, book a meeting, and follow up — in voice, end to end.
Multimodal only helps if the answers are right. Agents in a room retrieve from your connected knowledge base using hybrid search, so responses cite your actual documents instead of improvising. That applies whether the question arrives as speech, text, or a screen share.
The same workspace that understands your voice and screens also produces finished media: narrated video from a script, generated imagery for a post, and published articles with the assets already in place. Production and collaboration happen in one system.
Real-time voice where position matters, so large rooms stay legible.
Agents listen and reply in natural voice with low-latency streaming synthesis.
Share a screen and ask an agent about what is on it.
Freeform diagramming that persists with the room.
Turn a script into narrated video without leaving the workspace.
Hybrid retrieval over your own documents keeps multimodal responses accurate.
People often use the terms interchangeably. 'Multimedia AI' usually emphasizes producing or handling media — audio, image, video. 'Multimodal AI' is the more precise technical term for a system that reasons across several input and output types at once. Nonilion does both: agents reason across voice, screens, and text, and they produce media as output.
Yes. When you share a screen in a room, an agent can reason about what is displayed rather than only recording it, which is what makes live design review, debugging, and walkthroughs useful.
Voice agents run on streaming synthesis in a dedicated worker so audio stays smooth, and they answer from your knowledge base rather than guessing. Teams use them for reception, scheduling, and first-line questions, with escalation to a human when the request goes beyond what is grounded.
You choose. Nonilion is bring-your-own-key, so you connect the providers you already use and select which model handles which kind of work.
Yes, there is a free tier that includes rooms and voice so you can test the workspace before connecting heavier agent workloads.
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.
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.
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.
BYOK — bring your own key — means the platform runs model requests through your own provider API keys instead of reselling inference. Your usage is billed directly by the provider at your rates, under your data terms, and you choose which models the platform may use.
Voice, screen sharing, and whiteboard included on the free tier.