Intelligence, in conversation.

VoiceAI.

Spoken AI where latency, turn-taking and handoff are part of the product.

We design realtime voice experiences around natural turn-taking, tool use, context and human escalation, with the audio pipeline treated as a system rather than a demo.

Shape a conversation See what we build
Natural turns.Clear purpose.A human handoff.
The rhythm of a conversation
01

TRANSPORT

Realtime audio transport and session control.

Illustrative voice study. No microphone, recording or live audio.

The problem worth solving

When typing is the wrong interface for the moment.

Voice can reduce friction in hands-busy, high-speed or call-based workflows, but only if the system feels responsive and knows what to do when speech, context or intent is unclear.

  1. 01

    A workflow already happens mainly through phone or spoken conversation.

  2. 02

    Users need hands-free access to information or actions.

  3. 03

    A service team needs AI-assisted voice handling before human escalation.

  4. 04

    A voice prototype feels slow, interrupts badly or loses conversational context.

  5. 05

    The conversation needs to call business tools rather than only answer questions.

  6. 06

    Human transfer must preserve useful context instead of restarting the interaction.

What we build

A voice is a beginning.
The conversation is the work.

01

Realtime voice agents

Spoken agents built around low-latency conversation and bounded tool use.

02

Voice customer assistants

Voice experiences for information, triage and supported self-service.

03

Call workflow automation

Voice flows connected to approved operational actions and handoff rules.

04

Hands-free operational assistants

Voice interfaces for situations where screens or typing create unnecessary friction.

05

Voice-enabled product features

Realtime speech added inside an existing product rather than treated as a separate application.

06

Voice prototype validation

Focused experiments for latency, turn-taking, interruption and user acceptance before broader deployment.

The agreed outcome

A voice experience that can listen, respond and act.

Voice AI is a realtime interaction problem. Speech quality matters, but so do latency, interruption, tool use, identity, fallback and a clean path to human support.

The Intelligence Yard standard
Scope / Agreed
  1. 01Realtime conversation flow
  2. 02Latency budget
  3. 03Tool-use boundary
  4. 04Interruption behavior
  5. 05Human handoff path
  6. 06Conversation traces

Final deliverables follow the agreed project scope.

From intent to implementation

Listen to the context.
Design the next turn.

  1. 01

    DEFINE THE CONVERSATION

    Map the objective, expected turns, sensitive moments and human escalation path.

  2. 02

    SET THE LATENCY BUDGET

    Choose the audio and model path around the response speed the interaction requires.

  3. 03

    CONNECT CONTEXT

    Provide the knowledge, identity and tools needed to complete the conversation.

  4. 04

    HANDLE TURNS

    Design interruption, silence, clarification and recovery behavior.

  5. 05

    HAND OFF

    Preserve relevant context when a human needs to take control.

  6. 06

    TEST REAL SPEECH

    Evaluate accents, noise, ambiguous requests, latency and failure conditions with real audio.

Our wider AI methodology
Technology fit

The work chooses
the tools.

A relevant toolkit, not a compulsory stack. The final choices depend on the task, existing systems and operating constraints.

  • Python
  • TypeScript
  • WebRTC
  • WebSockets
  • SIP
  • Redis
Explore the technology landscape
Where we draw the line
A voice agent that cannot recover gracefully will feel less intelligent than a simple menu.

Junkyard Mind / Intelligence Yard

Before we begin

Worth asking.
Clearly answered.

01Is Voice AI only for phone calls?

No. Realtime speech can live inside web, mobile or call-based experiences depending on the workflow.

02Can a voice agent use business systems?

Yes, when approved tools or APIs are available and the action boundaries are explicit.

03Can users interrupt the agent?

They should be able to where natural conversation requires it. Interruption and turn-taking are core voice design concerns.

04What happens when speech is unclear?

The system should clarify, recover or hand off rather than confidently acting on uncertain input.

05Can a conversation transfer to a human?

Yes. A handoff can preserve relevant context so the user does not have to restart from zero.

06How do you test Voice AI?

Testing should include real speech, accents, background noise, interruptions, latency and tool failures.

HAVE A WORKFLOW THAT SHOULD WORK BY VOICE?

Less friction.
Better conversations.

Bring us the conversation, the actions behind it and where a human should take over.

Let’s define
the work