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Detects turns, silence, intent, account context, and urgency before it decides.
Dialogus is a foundational voice AI lab building agents that resolve live customer conversations across phone, workflow, and enterprise 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 connects telephony, messaging, CRM, internal tools, and human escalation into one controlled workflow. Every call becomes structured data, every action is traceable, and every handoff is intentional.
Dialogus is built as a voice operating layer: real-time speech in, controlled workflow execution in the middle, and structured evidence out.
Active topology: phone stream -> perception -> Wildfire -> workflows -> systems -> evidence.
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 automate.