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AI & data science

AI and data science

Machine learning and large language model solutions, from first experiment to a monitored production service.

What you receive

Deliverables for ai & data science

  • Evaluated models or prototypes with documented results
  • A deployed service with monitoring
  • Documented data, methods and limitations
  • Integration into your application
  • Handover and guidance for your team

What's included

Everything in AI & Data Science

  • Machine learning model development and evaluation

  • Large language model (LLM) applications, search and assistants

  • Retrieval-augmented generation (RAG) pipelines

  • Data preparation and feature pipelines

  • Model deployment and monitoring (MLOps)

  • Statistical analysis and data visualisation

  • Responsible AI, evaluation and data privacy

  • Integration of AI features into web and mobile apps

Process

How we deliver

  1. 01

    Discovery

    We listen first: your goals, users, constraints and any systems already in place.

  2. 02

    Design

    We shape the structure, screens and architecture, and agree the approach with you.

  3. 03

    Build

    We build in reviewable steps, so you can see progress and give feedback along the way.

  4. 04

    Launch

    We test, release and hand over the documentation needed to run what we built.

  5. 05

    Support

    Maintenance and improvements can continue after launch, as agreed with you.

AI & Data Science: common questions

What kinds of AI work do you do?

Machine learning models, large language model applications such as search and assistants, retrieval-augmented generation pipelines, and the deployment and monitoring needed to run them in production.

Can you add AI features to an existing app?

Yes. Integrating AI features into web and mobile applications through APIs is part of the service.

How do you handle data privacy and quality?

We evaluate output quality, cost and safety, and apply sensible data protection practice. We explain the limits of any model so you know what to rely on.

How long does an AI project take?

It depends on the scope. We confirm a realistic timeline after discovery, once we understand what you need, and we do not promise dates before that.

How much does an AI project cost?

We do not publish fixed prices because every project is different. Tell us what you need and we will reply with a clear next step and a quote based on the scope.

Our other services

Let’s build it

Ready to build with CloudWiss?

Tell us what you want to build, move to the cloud or keep running. We reply with a clear next step.