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Ceetechlabs

Research

Practical research on AI and software that small and growing organisations can actually use.

What we are exploring

Our current focus areas.

AI for everyday business tasks

How small teams can use AI for customer enquiries, scheduling and reporting, with a person checking important results.

Secure, privacy-aware software

Designing systems that collect only the data they need and protect it properly from the start.

Digital inclusion and accessibility

Making websites and apps usable by more people, on more devices.

Digital skills and innovation projects

Contributing technology know-how to EU-funded and community projects.

Questions we are exploring

Open questions we test through prototypes and small experiments.

When does an AI assistant help a customer, and when does it get in the way?

We test where a guided assistant answers well and where it should hand over to a person.

See the AI assistant demo

Can automatic reminders and waitlists reduce missed appointments?

We explore reminders, one-tap confirmation and refilling cancelled slots.

See the booking demo

What does an owner really need from a shop dashboard?

We prototype dashboards that show sales, orders and stock at a glance.

See the shop demo

How little customer data can a system collect and still work well?

We look at data minimisation, access control and clear data ownership.

Read about security and data

Template or custom software: how should a small business decide?

We compare cost, flexibility and running effort in plain terms.

Read the article

How can accessibility be tested early, not at the end?

We look for simple checks that catch problems while a design is still cheap to change.

See how we build

Our research principles

How we keep the work useful and trustworthy.

People stay in charge

AI supports decisions. A person checks the results that matter.

Privacy by design

We collect only what a system needs and explain why.

Honest about results

We say what is proven, what is a prototype and what is still a question.

Plain language

We write up what we learn so that anyone can use it.

How we do research

Practical and honest about the results.

  1. 1

    Start with a real problem

    We look at tasks that waste time or lose customers in small organisations.

  2. 2

    Build a small prototype

    Like our concept demos, a working example is the fastest way to learn.

  3. 3

    Test it with people

    We check what is useful, what is confusing and what is not worth building.

  4. 4

    Share what we learn

    We write up findings in plain language, and say clearly what is proven and what is not.

Ways to work with us

We are open to collaborations with universities, charities and EU-funded consortia.

Technology partner

Add software and AI know-how to your project or funding bid.

Student and university projects

Practical projects and placements that give students real experience.

Pilots with your team

Try a small prototype on a real problem before you commit to a full build.

Common questions

Do you publish academic papers?

Not at the moment. Our research is practical: prototypes, tests and short articles that we share on this site.

What are the demos on this site?

They are concept demos we built with sample data to show how we approach a typical problem. Try them to see how a solution could work for your business. Each one is labelled as a demo, so it is clear they are examples rather than client results.

Can we work together on a funded project?

Yes. We take part as a partner in EU-funded projects and are open to new collaborations. Get in touch with a short description.

Do you use customer data for research?

No. We use sample data in our demos and we do not use client or customer data for research.

Working on a project that needs a technology partner?

We are open to collaborations with universities, charities and EU-funded consortia.