Listen
Detects turns, silence, intent, account context, and urgency before it decides.
Backed by Y Combinator
The voice layer for real-world operations.
Dialogus is a foundational voice AI lab building agents that resolve live customer conversations across phone, workflow, and enterprise systems.
Try our work
01The operating loop
From first ring to resolved workflow.
Reason
Constrains the model with workflow state, policies, menu, CRM, and tool context.
Act
Executes approved tools, confirms the customer, and escalates only when needed.
Report
Writes the transcript, latency, tools, outcome, and handoff trail for audit.
Every call covered
Orders resolved
Audit-ready ops
02Operating layer
A voice agent that does the whole job, not just the greeting.
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.
TTFAfirst audio instrumented
100%tool calls auditable
SOC 2enterprise controls
Live demo
A real order, taken end to end by voice.
Press play and watch the conversation become an order: saved address, repeat order, upsell, payment confirmation, POS handoff, and WhatsApp summary.
1 callfrom greeting to confirmation
6 statestracked as the call progresses
WhatsAppsummary sent after checkout
What the agent completedcall_9281
Papa Johns voice order
I need to change my delivery window and confirm the payment method on the order.
I found the order, verified your phone number, and can move delivery to 6:30 PM. Would you like to keep the card ending in 8842?
Yes, and please add a note for the driver to call when they arrive.
Done. Delivery is set for 6:30 PM, payment is confirmed, and the driver note has been added.
✓Delivery address confirmed
✓Last order recovered
✓Smart upsell added
03Architecture
Infrastructure for agents that hear, decide, act, and prove.
Dialogus is built as a voice operating layer: real-time speech in, controlled workflow execution in the middle, and structured evidence out.
Voice operating loop
From live speech to controlled operation.
The graph completes as the call moves from audio into turn control, constrained reasoning, enterprise action, evidence, and evaluation.
Active topology: phone stream -> perception -> Wildfire -> workflows -> systems -> evidence.
A real customer speaks.
The system begins with messy phone audio: accents, pauses, interruptions, background noise, and changing intent.
Turns become control signals.
Speech recognition, endpointing, barge-in, and first-audio latency are treated as part of the runtime, not edge cases.
Wildfire reasons inside constraints.
The model sees only the workflow state, policy, customer context, and tools that are valid for the current turn.
Workflows commit real actions.
Orders, delivery changes, CRM notes, WhatsApp confirmations, and human handoffs run through explicit steps.
Every call becomes a trace.
Transcripts, tool results, state snapshots, latency, outcomes, and errors become an auditable record.
Hard calls train the system.
Production failures become replayable scenarios, regression tests, and safer agent versions.
Enterprise posture
Built for teams that cannot afford a mysterious black box.
Human handoff
Policy guardrails
Audit logs
PII-aware
Latency visibility
Secure integrations
Give every customer call your best operator.
Tell us where voice work is slowing your organization down. We will map the first workflow and show what Dialogus can safely automate.