Skip to content
Cloudus Infotech
AI · AI Software Development

AI features that ship inside working software

Not a demo notebook. An AI capability built into the product your users already open, with the evaluation and cost controls built at the same time.

  • 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 build includes

An AI feature is software first. We build it with the same scope, tests and release discipline as the rest of your product.

Talk through the use case

A workflow worth automating, agreed before any model is chosen

The feature wired into your existing product and data

Quality scored against your own cases before release

Our process

From a measured workflow to a shipped feature

Each step ends with something you can inspect: a scope, a prototype, a score, a release.

  1. 01

    Pick the workflow

    Agree one workflow worth improving, and how success will be measured.

  2. 02

    Prototype on your data

    A working prototype against your real cases, not sample data.

  3. 03

    Build it into the product

    Wire the feature into your existing app, sign-in and data.

  4. 04

    Score, release, monitor

    Evaluation before release, then monitoring of quality and cost.

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.

OpenAIAnthropicLangChainPyTorch

More AI capabilities

Fourteen more ways we apply AI

AI Chatbot Development

Smart, conversational AI for business.

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.

Yes. Most builds are an AI capability added to an existing web or mobile product, connected through its current APIs and data.

Not in advance. Discovery shows what data the feature needs, and we say plainly if it is not ready.

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.

Add one AI feature to your product

Two weeks, your data, a working prototype and a costed plan to ship it.