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Detects turns, silence, intent, account context, and urgency before it decides.
Dialogus builds voice agents for enterprises that need every live conversation resolved, traced, and controlled across phone, workflow, and customer systems.

Detects turns, silence, intent, account context, and urgency before it decides.
Constrains the model with workflow state, policies, menu, CRM, and tool context.
Executes approved tools, confirms the customer, and escalates only when needed.
Writes the transcript, latency, tools, outcome, and handoff trail for audit.
Dialogus is built as a voice operating layer: real-time speech in, controlled workflow execution in the middle, and structured evidence out.
The system begins with messy phone audio: accents, pauses, interruptions, background noise, and changing intent.
Speech recognition, endpointing, barge-in, and first-audio latency are treated as part of the runtime.
The model sees only the workflow state, policy, customer context, and tools that are valid for the current turn.
Orders, delivery changes, CRM notes, WhatsApp confirmations, and human handoffs run through explicit steps.
Transcripts, tool results, state snapshots, latency, outcomes, and errors become an auditable record.
Production failures become replayable scenarios, regression tests, and safer agent versions.
Tell us where voice work is slowing your organization down. We will map the first workflow and show what Dialogus can safely resolve, trace, and hand off.
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