For the businesses running agents on it, the outcome is human-level intelligence with a human-level experience, working 24/7.
That’s the application story. The identity underneath is the runtime.
Alebex Voice EngineVoice AI sounds impressive in a demo. Business voice doesn’t fail there.
Knows “uh-huh” isn’t an interruption. Classifies raw audio, not energy heuristics.
When interrupted, the agent resumes from what the caller actually heard. Not what the model generated, or what the script assumed.
An SLM and an LLM run in overlapping loops, so speech begins while the complete answer is still forming. Both models speak through the same runtime and the same voice.
The verdict runs beside synthesis and can abort audio already in flight. The runtime regenerates the sentence before the caller hears the rejected version.
Put agents on outbound calling, qualification and booking. For teams where call volume is the constraint.
Planned. Not available today.
Not settings a page states and a runtime is free to ignore. Each of these holds for as long as a specific conversation is still in progress, on the same runtime that is speaking.
Speech recognition, turn control, the hallucination gate and streaming synthesis run as one system.
Every sentence is checked alongside synthesis, with rejected audio aborted and regenerated.
Barge-in classification separates a real interruption from a backchannel, then playback tracking preserves what was heard.
Voice, SMS and email turns resolve to one ordered thread instead of three disconnected histories.
Recordings, transcripts and customer information are held in Canada, with PIPEDA and CASL compliance built in.
The agent hands work to a person when a request falls outside its approved answers or workflow.
The voice can move quickly because the answer check moves with it.
Drop in your website. Alebex reads it, learns what you do, and calls you in under 30 seconds — fully trained, zero setup.