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Cloudus Infotech
AI · AI Chatbot Development

Support and sales assistants grounded in your content

A chatbot that answers from your documentation, tickets and product data, and says it does not know rather than inventing an answer.

  • 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 chatbot includes

A chatbot is judged on what it does when it does not know. We design the handover and the limits first.

Talk through the use case

Ingestion of the content the answers must come from

Escalation to a human where the question carries risk

Answer quality measured against a test set of real questions

Our process

Four steps from conversation map to live chatbot

We start with the questions your customers really ask.

  1. 01

    Map the conversations

    Real questions from your inbox, chat logs and calls, grouped by intent.

  2. 02

    Design the answers & limits

    Tone, sources, what it must never say and when it hands over to a person.

  3. 03

    Build & connect

    Website, WhatsApp or app channel, plus your help centre, CRM or order data.

  4. 04

    Test, launch & tune

    Scored on real transcripts before launch, then reviewed every week.

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.

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More AI capabilities

Fourteen more ways we apply AI

AI Software Development

End-to-end AI product builds.

AI Agents Development

Linked agents for smarter tasks.

AI Voice Agents

Voice intake and call handling.

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.

Your website, WhatsApp, Telegram and in-app chat, and Slack or Teams for internal bots, all from one backend.

It says so and hands the conversation to a person with the full history, rather than guessing.

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 questions your customers already ask

Two weeks, your real transcripts, a working chatbot and a scored set of answers.