Services · Mobile app development · AI tutoring apps
Codeeo takes on AI tutor app development Manchester colleges, academy trusts and early stage edtech companies need when a prototype has to become something pupils can safely use every day. We build the student app, the staff dashboard and the reasoning layer behind them: a tutor that asks questions, checks working and holds back the final answer. Children's privacy under the ICO code and clear safeguarding escalation are part of the first release, not a later fix.
Greater Manchester spans ten boroughs, a large further education sector and several universities producing education research. Projects here often start with a sharp question, such as how to help post 16 students pass a maths resit, and the app is built to answer it.
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Capabilities
The features below are the ones we expect Manchester clients to prioritise, ordered roughly by how often they come up. A college supporting resit students needs short, frequent practice on a phone. A school with many recent arrivals needs language support that does not replace English learning. A university spin out needs clean, consented data to show whether the tutor works. For each, the model is grounded in content you own, tested against known correct answers and wrapped in the protections the Age Appropriate Design Code expects for under 18s: privacy on by default, profiling and location off, no manipulative nudges and clear signals when an adult can see a child's activity. Where pupils in England use the tool, we also check the design against the DfE's expectations for generative AI products in education, which ask suppliers to protect cognitive development and wellbeing as well as data.
Students without a grade 4 in maths or English generally keep studying the subject alongside their college course. The tutor diagnoses the topics costing them marks, sets ten minute sessions between lessons and explains methods in a tone suited to young adults who may have struggled with the subject for years.
Resit learners practise little and often instead of cramming.
For modern foreign languages, the app holds short spoken exchanges on GCSE themes, then gives feedback on vocabulary and grammar. Audio is processed for the exercise and not kept longer than you decide, and voice features are off until a school or parent turns them on.
Speaking practice without needing a partner in the room.
Many families in south Manchester and Trafford prepare for the shared test used by the Trafford Grammar Schools Consortium, while Saint Ambrose College and Loreto Grammar School set their own. We build reasoning and maths practice to match each format, checking the current arrangements with the schools before each admissions round.
Preparation that fits the test a child is actually entered for.
Students submit an essay draft and receive comments on structure, evidence and clarity linked to the assessment objectives you supply. The tutor does not rewrite paragraphs or award grades; a teacher stays responsible for marking.
More feedback cycles without more marking hours.
Topics a learner got wrong come back after a few days, then after a longer gap, in a different form each time. The schedule adapts to what each student remembers, so revision for a summer resit or a spring mock builds steadily instead of in one late rush.
Knowledge sticks between lessons, not just until the next quiz.
Manchester classrooms include pupils who arrived recently and are still learning English. The tutor can offer a short explanation or glossary in the pupil's first language, then return to English for the task itself, so understanding grows without the pupil leaning on translation for everything.
Recent arrivals follow lessons while building English.
Edtech teams working with researchers at the University of Manchester, Manchester Metropolitan or Salford often need evidence of impact. We build pseudonymised exports and consent records so an evaluation can run without exposing identifiable pupil data, subject to the ethics approval your research partner obtains.
Impact studies run on clean data with consent on record.
Messages that suggest a pupil is unsafe or in crisis switch the tutor out of teaching mode. It responds briefly and kindly, points to a trusted adult and Childline, and alerts the named safeguarding lead, with a deputy as backup, whose response follows your policy and the procedures of the local safeguarding partnership.
A worried child is directed to people, not to a model.
Lecturers see which students practised this week and which topics are weakest across a group. Managers compare campuses or schools. Permissions follow your structure, so a lecturer at one campus cannot open records from another.
Staff act on weak topics before the exam, not after.
Each learner has a daily allowance of AI turns, adjustable by role. Heavy use is flagged to administrators, and simple questions are routed to cheaper models while harder reasoning uses stronger ones, which keeps running costs predictable for a college budget.
Model spend stays within the limits you set.
Who this is for
We are an AI tutor app development company Manchester teams brief remotely: discovery, design reviews and sprint demos happen by video call, and every decision is written up afterwards. Codeeo has no office in Manchester or elsewhere in the UK; our team of 80+ works from Dubai, Riyadh and Karachi. These are the client types we expect to fit best, each with a different first release. What they share is a need to show a sceptical head of department, governor or college principal that the tutor helps learners and that its risks are under control, so evidence and safeguarding are designed in from the first sprint.
Large colleges with campuses spread across the city, such as The Manchester College, teach many learners who must continue with GCSE maths or English. Timetables are tight and attendance at extra sessions is hard to secure. We build a phone app students open in short gaps, with sign in through the college's Microsoft or Google accounts, progress visible to their lecturer and a tutor that treats them as adults. The first release usually covers one subject across one campus before wider rollout.
We size the pilot so its results are clear before scaling.
Founders coming out of university research or incubators around Oxford Road and the Manchester Science Park often have a strong teaching idea and a demo, but no production engineering, safety layer or school ready documentation. Custom AI tutor app development Manchester startups commission from us turns the demo into an app with a data protection impact assessment, moderation, escalation and an evaluation pipeline, ready for a school pilot.
Pilots can be designed with a later independent evaluation in mind.
Trusts with schools in Oldham, Rochdale, Bolton or Salford as well as the city itself need consistent tools that still respect each school's rules and its local authority's safeguarding arrangements. We set up trust, school and class roles, connect class lists from your management information system and route alerts to each school's own safeguarding lead.
Each borough's partnership procedures are reflected in the alert routing.
Tutoring firms preparing pupils for the Trafford test and for GCSEs want homework that keeps children practising between paid sessions. We build an app that sets practice from the tutor's own materials, reports to parents with the child's knowledge of what is shared and passes the tutor a summary of mistakes before each session. Records of tutor DBS checks can be held in the admin area.
Tutors keep their own teaching style; the app follows it.
How we work together
Most Manchester projects start as a fixed scope first version tied to a pilot, so everyone knows what will be built and how success will be judged. After the pilot, a monthly retainer covers model tuning, new content and support. Startups with funding for a longer build sometimes choose a dedicated team that joins their planning and works in their tools. Every engagement runs remotely by video call, with written records of decisions. Release dates are planned around college enrolment and exam seasons, when staff have the least time to learn a new tool.
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 apps, a web dashboard for staff, a mix of hosted language models routed by task difficulty, a vector index of your teaching content and UK or EU hosting matched to your impact assessment.
01Mobile
02Data and cloud
03Marketing and tracking
A single learning problem and a pilot site.
Rather than a tutor for every subject, we recommend starting with one group, such as resit maths students at one college campus or Year 5 pupils preparing for the Trafford test. That keeps the content, safeguards and evaluation focused, gives you evidence quickly and shows which features deserve the next round of investment. Broader subjects and sites follow once the pilot results are in. Starting narrow also makes it easier to win a second Manchester site, because you can show a head of maths real usage rather than a promise.
Schedule a free consultation and get a written recommendation, with costs, before you commit to anything.
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