Company
We build voice AI you can see inside
A conversation with an AI agent is often a black box. We think the people building and running agents deserve to see exactly what happens, and why.
Voice agents are moving from demos to real work: booking, support, screening, follow-ups. But when something goes wrong in a live call, you can be left guessing: was it the model, the prompt, the speech, the latency, the routing?
Glytos was built to remove that guesswork. Every session is a full transcript with the routing decisions, the per-step cost, and the latency of each turn, laid out so you can understand, debug, and improve with confidence.
Our mission
Make real-time voice agents transparent end to end, from the first prompt to the live conversation, so teams can ship them with trust instead of hope.
What we believe
Transparency by default
If it affects a conversation, you should be able to see it: content, cost, and timing alike.
Your data, your control
You decide what is recorded, redacted, and retained. Privacy is a setting, not a surprise.
No lock-in
Bring your own model, speech, and telephony providers, and switch whenever you want.
Built for production
Not just a demo. Test agents end to end, then run them with the same visibility live.