About
Making voice AI accessible to every team
We believe every business should be able to deploy voice agents that sound genuinely human — without assembling four specialisms to do it.
Why we built Octo
Making a voice agent work means stitching together speech recognition, a language model, speech synthesis and telephony — and keeping the whole round trip under a second, because past that it stops sounding like a conversation. Each piece is its own specialism. Together they are a project, not a feature.
Octo is that stitching, done once. A visual builder for the flow, a voice bridge that streams all three stages concurrently instead of in sequence, and provider slots you can swap without touching a workflow. What used to be an integration project becomes something you can draw.
We are early. Octo is in active development, and we would rather show you the product than a wall of customer logos we have not earned yet.
Architecture
One call, end to end
Caller
Inbound call
Any phone, any country
Telephony
Twilio or SIP
Your carrier, your number
Octo
Voice bridge
Streamed, not sequential
Your stack
CRM, calendar, APIs
Read context, take action
Latency budget inside the bridge
820ms
- Speech to text 240ms
- LLM reasoning 410ms
- Text to speech 170ms
What drives us
Three commitments you can hold us to.
Sub-second or it does not ship
A turn is roughly 240ms of transcription, 410ms of reasoning and 170ms of speech. We hold the round trip under a second because past that it stops sounding like a conversation.
No lock-in, by construction
Speech, reasoning and voice are separate slots. Swap the provider in any one of them without touching a workflow — the picker on our features page is the whole mechanism.
Everything is inspectable
Every interaction keeps its full transcript, the tools the agent called, and a written summary. If an agent did something surprising, you can read exactly why.
Questions about any of this? Get in touch or read the docs.
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