AI and automation
Practical AI work: agents that do a job, automation that removes repeated work, and computer vision where it earns its place.
Describe your project
Most AI projects fail on the brief, not the model
The technology is rarely the hard part. Choosing a task worth automating is.
A demo with no job to do
An impressive prototype that never touches a real process, so nobody uses it after the first week.
No data to stand on
The work depends on documents and records that are scattered, unlabelled or out of date.
No measure of success
Nothing agreed in advance about what improvement counts, so the project cannot be judged.
We start these projects the same way every time: name the task, count how long it takes today, and agree what a good result looks like. If that cannot be answered, the project is not ready, and we will say so rather than build a demonstration.
The work that pays for itself is usually unglamorous. Answering the same customer question, reading documents into a system, drafting first versions of routine copy, checking images against a rule, moving data between tools that do not talk to each other.
We build with the models and platforms that suit the task, keep a human in the loop where the cost of being wrong is high, and hand over something your team can run, with the prompts, the workflow and the access in your name.
A clear process from brief to launch, with your approval at every stage.
Send a short brief. You get one fixed price with scope and timeline, with no charge and no obligation.
01You sign off the design or the plan before work starts. Copywriting is included.
02We launch with tracking in place, train your team, and hand over every account in your name.
03Accelerate your launch
What we build
Tell us the task and how it works today, and we will scope the smallest version that proves it.
Generative AI to AI Powered AutomationAI Chatbots to Machine Learning DevelopmentWhat we build assistants with
Chosen for what your data and your budget allow.
Describe your project
OpenAI
Claude
Python
Hugging Face
n8n
ZapierCase
studies
Work we have delivered for companies with the same problem
→ A booking platform for 100+ screens across 16 cinema venues
Star Cinemas · Entertainment · Web app
→ A payments app designed and built by our team
Purpose Payment · Fintech · Mobile app
→ A car rental marketplace where renters compare and book directly
OneClickDrive · Automotive · Marketplace
→ A conference app that replaced printed programmes and email chains
Meecon · Events · Mobile appWhy the UAE companies choose Codeeo for AI and automation
One fixed price in writing
Scope, timeline and price agreed before any work begins.
One team, not three suppliers
Setup, brand, website and marketing handled by the same people, with one brief.
Everything in your name
Licences, domains, hosting, accounts and code registered to your company.
Measured, not assumed
Tracking from launch, so the work is judged on enquiries rather than opinion.
AI
done properly →
Send the brief and get a fixed written quote.
Describe your project →Questions founders ask us
Where does AI actually save money?
In repeated work with a clear right answer: routine replies, document handling, first drafts, checks and data movement. Anything requiring judgement stays with a person, with the model assisting.
Do we need our own data?
For anything specific to your business, yes, and its state usually decides the timeline. Part of the first phase is getting that data into a usable shape.
Is this safe for customer facing work?
It can be, with limits, review steps and logging. We agree where a human must approve before anything reaches a customer.
Which models do you use?
Whichever fits the task, the budget and your data rules. We are not tied to one provider, and we will explain the trade off in plain language.
Can it connect to our existing systems?
Usually, where an interface exists. The integration is scoped before the build, because that is where these projects overrun.
Our studiocodeeo.com
Codeeo Technologies FZCOIFZA Business Park, Dubai