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Cloudus Infotech
AI · AI Voice Agents

Voice intake and call handling that hands off cleanly

Voice agents for enquiry intake, qualification and routing, designed around the handover to a person rather than around avoiding one.

  • 2 wks

    To a working POC

  • 15

    AI capabilities we build

  • 9

    Years in business

A humanoid robot reading on a bench

What you get

What every voice agent includes

A phone call has no screen to fall back on, so the conversation design and the handover to a person come first.

Talk through the use case

Speech-to-intent tuned on your own call recordings

Defined handover point to a human operator

Transcripts and outcomes written back to your systems

Our process

Four steps from call recordings to live voice agent

We begin with your real calls.

  1. 01

    Listen to real calls

    Recordings and scripts show the questions, accents and interruptions to expect.

  2. 02

    Design the conversation

    Prompts, pauses, confirmations and the point where a person takes over.

  3. 03

    Build & integrate

    Speech recognition, the language model and the voice, tied to your phone system and data.

  4. 04

    Test calls & launch

    Tried on real call scenarios and tuned for delay and accuracy before it goes live.

Tech stack

What we build it with

Four layers, each chosen per project. Open one to see what sits in it and why.

Models & frameworks

The layer that generates. Chosen per task against quality, latency and cost.

OpenAIWhisperText-to-speechLangChain

More AI capabilities

Fourteen more ways we apply AI

AI Software Development

End-to-end AI product builds.

AI Chatbot Development

Smart, conversational AI for business.

AI Agents Development

Linked agents for smarter tasks.

Generative AI Solutions

AI that creates and innovates.

LLM Chatbot Development

Grounded in your own content.

LLMs for SMEs & Enterprises

AI built to scale with you.

RAG Model Development

Smarter AI with search + generation.

GPT Integration

AI seamlessly in your workflow.

Prompt Engineering

Better prompts, better results.

Machine Learning Development

AI that learns from your data.

NLP Development

Classification, extraction, sentiment.

AI Workflow Automation

Process automation that holds up.

AI MVPs & POCs

Proof before you commit to a build.

AI Consulting

Where AI pays off, and where it doesn't.

Frequently asked questions

The questions we get asked about AI

Data handling, output quality, cost and ownership.

We test on your real recordings and tune the speech setup for your callers, and we report the accuracy we measure rather than promise a figure.

Yes. It hands over with a short summary of the call, so the person does not start from scratch.

A POC on one workflow runs two weeks. A production build on top of it is typically 6–12 weeks, delivered in increments you can use.

Fixed price against a written scope for the POC, then fixed scope or a monthly dedicated-team rate for the build. Cost per request is established before we scale.

You do, from day one. Repositories, prompt history, evaluation sets and infrastructure accounts are all in your name.

Send us the workflow you want to automate. We come back within one business day with questions, then a written scope and a cost per request.

Start with the calls you answer most

Two weeks, your call recordings, a working voice agent and a measured result.