Services · Mobile app development · AI tutoring apps
Codeeo offers AI tutor app development London edtech founders, tutoring agencies and school trusts can put in front of children with confidence. We design the learner app, the parent view and the tutor console, then build the model layer that guides a pupil through a problem one hint at a time. The ICO Children's code, safeguarding routes and your own curriculum content shape the product from the first sprint, because a tutoring app that a Year 6 pupil opens on a bus has to be safe by default.
London buyers tend to be specific about what they want: entrance exam practice for a borough grammar, GCSE revision that follows one exam board, or support for pupils who speak another language at home. We build around that brief instead of a generic chatbot with a school logo.
200+ companies servedFrom a first store to an ADX listed developer
What the tutor can do
A good human tutor rarely gives the answer. They ask what the pupil tried, point at the step that went wrong and wait. The software we build copies that habit. Each feature below exists because London families, tutors or school leaders ask for it, and each one is designed with the Age Appropriate Design Code in mind: high privacy settings by default, geolocation and profiling switched off unless there is a strong reason, and no streaks or prompts that pressure a child to keep tapping. We ground the model in material you own or license, such as your question banks and worked examples, so explanations match the specification your learners sit rather than whatever the model absorbed from the open web. Pupils in this city often revise on the move and in more than one language, so offline use and home language explanations are part of the core scope, not extras.
The tutor responds to a stuck pupil with a question, then a nudge, then a partial step, and only shows a full method when a teacher has allowed it for that task. This follows the Department for Education's product safety expectations for generative AI in English schools, which ask learner tools not to hand over final answers by default.
Pupils do the thinking, and teachers can see where each one stalled.
Timed verbal and non verbal reasoning, comprehension and maths sets for families aiming at grammar schools in boroughs such as Sutton, Kingston, Bexley and Barnet, or at independent schools that use the ISEB Common Pre-Test. The AI explains each mistake in the style of the paper rather than in generic terms.
Practice that mirrors the exam a London child will actually sit.
Signal drops in tunnels and on parts of the Underground, so the app downloads the next set of questions and explanations in advance. Answers are stored on the device and sync when the phone reconnects, with nothing sensitive left readable if the handset is shared.
Revision continues between stations without a broken session.
Many London pupils speak a language other than English at home. A learner or parent can ask for an explanation in that language while the question, the vocabulary and the written answer stay in English, which keeps the pupil working towards the English paper.
EAL learners understand the concept without losing exam vocabulary.
When the AI sees repeated errors on one topic, it can suggest a session with a human tutor from your roster. The tutor receives a short summary of the pupil's attempts, so the paid hour starts on the real gap rather than on diagnosis.
Human tutor time goes where software cannot help.
Messages that suggest distress, harm or disclosure are not answered by the model as if they were homework. The app gives the child a short, calm response pointing to a trusted adult and Childline, and alerts the designated safeguarding lead or the account owner you nominate.
Concerns reach a named adult instead of a log nobody reads.
Parents see topics covered, accuracy over time and time spent, without a transcript of every message unless the child is told that monitoring is on. The Children's code expects that signal to the child, and we design it into the screen rather than hiding it in settings.
Parents stay informed and children know what is visible.
Teachers assign topics, set whether worked solutions are allowed, review flagged conversations and export progress for a class. Trust leaders see usage across schools in different boroughs, with role based access so a teacher only sees their own pupils.
One console for many schools, with access kept tight.
Families and schools set sensible daily limits, and the app suggests a break after a long session instead of rewarding marathon use. The tutor never claims feelings or friendship, a point the updated DfE expectations raise, and it avoids language that makes a child feel they owe it more time.
Healthy study habits rather than engagement for its own sake.
Before each release we run the tutor against a fixed set of questions with known correct methods, checking accuracy, tone and refusal behaviour. Results are stored so you can show a school buyer how the product performed on their curriculum.
Evidence of quality you can hand to a head teacher.
Who this is for
The capital has more tutoring businesses and edtech founders than any other UK city, which means buyers here compare carefully and ask hard questions about safety and evidence. As an AI tutor app development company London clients can brief remotely, we work with you by video call from discovery to launch, with written decisions after every session. Good AI tutor app developers London buyers shortlist should be able to show how a refusal works, how an alert reaches a person and where learner data is stored. These are the four starting points we see most often, and each needs a different first release.
Founders often have a working prototype built on a model API and a waiting list of interested schools. What they lack is the safety layer a school procurement lead will ask about: a data protection impact assessment, default privacy settings, filtering, escalation and an audit trail. We rebuild the prototype into a product that can answer those questions, keeping the parts that already work and replacing the parts that will not pass a review.
Schools buying in England often check products against the DfE expectations.
Agencies serving families across north and south London want pupils practising between booked sessions without losing the personal relationship. We build an app that keeps practice, homework and tutor notes together, routes difficult topics back to the assigned tutor and records which tutors have current DBS checks on file, so office staff stop managing it in spreadsheets.
The app supports your tutors; it does not replace them.
Trusts need one product that works for schools with different timetables, different exam boards and different local safeguarding partnerships. We set up trust, school and class levels, connect to your management information system through an integration service such as Wonde, and make sure each school's safeguarding lead receives only alerts about their own pupils.
Independent schools frequently teach beyond the national curriculum and want a tutor that knows their schemes of work. Custom AI tutor app development London independent schools commission usually starts with their own lesson materials, past papers and marking guidance, which we index so the tutor explains things the way their teachers do and declines questions outside that scope.
Your materials stay yours and are not used to train public models.
How we work together
Codeeo has no London office. Our team of 80+ across Dubai, Riyadh and Karachi works remotely with UK clients, and discovery, design reviews and sprint demos all run by video call. Most clients begin with a fixed scope first version focused on one age group and subject. After launch, a retainer covers evaluation runs, content refreshes and new features. Startups with a longer roadmap sometimes take a dedicated team that joins their own planning and stays with the product.
A defined build with a deadline
We agree what the product has to do, write it down with a price and a date, and build exactly that. Changes are priced before they are made, not discovered on the invoice.
A product that keeps evolving
Named engineers who work your hours, join your standups and stay on the codebase. You direct the backlog; we own the quality of what ships.
Something live that needs looking after
A monthly block of hours for improvements, fixes and the small requests that otherwise wait months. Unused hours carry for a quarter.
Technology
Native or cross platform mobile code, a web console for adults, hosted or open weight language models, a vector store for your content and hosting in a UK or EU region, chosen to fit your data protection assessment and budget.
01Mobile
02Data and cloud
03Marketing and tracking
We act as the product and engineering team until you are ready to hire.
You bring the teaching knowledge and the market. We bring designers, mobile and backend engineers and someone who owns the AI behaviour. Everything is built in your accounts, documented as we go and handed over with the evaluation sets, so a future in house team can carry on without starting again. If you later hire your own engineers, we can work alongside them during the transition.
Schedule a free consultation and get a written recommendation, with costs, before you commit to anything.
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