SOC 2 compliant AI voice agents for live operationsBook a demo
Backed by Y Combinator

Own every customer call.

Dialogus builds voice agents for enterprises that need every live conversation resolved, traced, and controlled across phone, workflow, and customer systems.

Step 01

Listen

Detects turns, silence, intent, account context, and urgency before it decides.

Step 02

Reason

Constrains the model with workflow state, policies, menu, CRM, and tool context.

Step 03

Act

Executes approved tools, confirms the customer, and escalates only when needed.

Step 04

Report

Writes the transcript, latency, tools, outcome, and handoff trail for audit.

03Architecture

Infrastructure for enterprise frontier agents .

Dialogus is built as a voice operating layer: real-time speech in, controlled workflow execution in the middle, and structured evidence out.

01 / live call

A real customer speaks.

The system begins with messy phone audio: accents, pauses, interruptions, background noise, and changing intent.

02 / perception

Turns become control signals.

Speech recognition, endpointing, barge-in, and first-audio latency are treated as part of the runtime.

03 / runtime

Wildfire reasons inside constraints.

The model sees only the workflow state, policy, customer context, and tools that are valid for the current turn.

04 / operations

Workflows commit real actions.

Orders, delivery changes, CRM notes, WhatsApp confirmations, and human handoffs run through explicit steps.

05 / evidence

Every call becomes a trace.

Transcripts, tool results, state snapshots, latency, outcomes, and errors become an auditable record.

06 / lab loop

Hard calls train the system.

Production failures become replayable scenarios, regression tests, and safer agent versions.

Put a trusted AI voice lab behind your calls.

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.

Book a demo