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Cloudus Infotech
AI · AI MVPs & POCs

Proof before you commit to a build

A two-week POC on one workflow and your own data, ending in a measurable result and a costed recommendation.

Scope a two-week POCAll AI capabilities

  • 2 wks

    To a working POC

  • 15

    AI capabilities we build

  • 9

    Years in business

Laptop showing code on a white desk
OverviewProcessStackMore AIFAQ

What you get

What every AI MVP includes

An MVP answers one question: does this work well enough to continue? We design the test before the build.

Talk through the use case

One workflow, your data, a measurable result

Cost per request established before scaling

A written recommendation, including “do not build this”

Our process

Four steps from idea to a go / no-go decision

Two weeks to evidence, not to a pitch.

  1. 01

    Define the one question

    What must be true for the idea to be worth building.

  2. 02

    Build the smallest proof

    A working prototype on your data, with only what is needed to test it.

  3. 03

    Measure the result

    Quality, speed and cost per request, against the target.

  4. 04

    Decide with evidence

    A written recommendation: stop, change or scale, with a costed plan.

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.

OpenAIAnthropicHugging Face

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.

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 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.

A working prototype, a measured result and a written recommendation, including what building it for real would cost.

Often, yes. We build it so the working parts carry forward, and we tell you which parts to replace.

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.

Test your AI idea in two weeks

A working prototype, a measured result and a clear next step.

Start the POC