Services · Mobile app development · AI tutoring apps
Codeeo delivers AI tutor app development across the USA for edtech companies, tutoring brands, school networks and colleges that plan to serve learners in more than one state. We build the student app, the educator and parent tools, and the AI layer that coaches instead of answering, then wrap all of it in the federal rules that apply everywhere, COPPA and FERPA, plus the state student privacy laws that change from one buyer to the next. That way a product that wins a pilot in one state can be sold in the next without a rebuild.
As an AI tutor app development company USA clients work with remotely, we run discovery, reviews and demos by video call from our bases in Dubai, Riyadh and Karachi. Our team of 80+ has delivered 200+ projects across the UAE and the US, and our Google rating stands at 4.7 from 23 reviews.
200+ companies across the US and the UAEFrom a first store to a listed developer
Platform capabilities
A tutor app that works in one classroom is a prototype. A tutor that can be sold nationally has to absorb differences in standards, privacy statutes, procurement paperwork, rostering systems and accessibility duties without a separate build for each market. That is where most of the engineering effort goes. The AI quality still matters most to students, so we treat prompt design, grounding and evaluation as product work, not an afterthought. But the features that decide whether districts and families in many states can adopt the product are the ones below: configurable data rules, a content model that maps to several standards frameworks, consent handling that follows the updated COPPA Rule, and administration that lets you onboard a new school system in days rather than months.
Retention periods, allowed data fields, advertising restrictions and deletion triggers are configured per state and per contract, not hard coded. When a new state's student privacy statute or a district's agreement sets a stricter rule, an administrator applies it to that customer without a release.
New markets open through configuration, not engineering sprints.
Direct notices, privacy policy content and verifiable parental consent flows follow the FTC's amended COPPA Rule, including separate consent before non-integral third-party disclosures and naming the categories of recipients. Where a school authorizes use for an educational purpose, the app records that authorization instead.
Consent that holds up whether a parent or a school signed you up.
Lessons and practice items carry tags for Common Core based standards and for states with their own frameworks, such as Texas TEKS or Florida B.E.S.T. The tutor selects content by the student's state and grade, so one library serves many markets.
One content base, aligned to each state you sell in.
The core tutor uses step by step questioning, checks the student's work with tools where math or code is involved, and holds back final answers until the learner has tried. Behavior rules are versioned and tested, so a model upgrade never silently changes how the tutor teaches.
Consistent teaching behavior across models and releases.
Schools connect through OneRoster, Clever or ClassLink, and staff sign in with Google or Microsoft accounts. Families buying direct use email or passkeys. Sync pulls only fields the tutor needs and removes students who leave a roster.
Onboarding a district takes setup, not custom code.
The Department of Justice's 2024 rule under ADA Title II points public schools and colleges to WCAG 2.1 AA for web content and mobile apps. We design for screen readers, captions on audio, keyboard access and readable contrast, and test with assistive technology before release.
Public buyers can adopt the app without accessibility exceptions.
Classifiers flag self-harm signals, harassment, explicit content and oversharing of personal details. Each customer chooses who receives alerts and how fast, and every flag keeps the conversation context and the action taken for later review.
Schools and families see that risk is handled by people, on record.
Mastery, time on task and hint usage are measured with first party analytics. No advertising SDKs touch student sessions, which keeps you clear of the targeted advertising bans common in state student privacy laws.
Evidence of learning that you can share with buyers safely.
Family subscriptions sold inside the app generally go through Apple and Google billing, while school and district contracts are invoiced outside the app. We build entitlement logic that recognizes both, so a student with a school license never sees a paywall.
Two revenue models in one app without confusing users.
Schools that receive E-rate discounts must filter certain content under the Children's Internet Protection Act, and their IT teams will ask how your app behaves behind those filters. We document every domain the app calls, avoid third-party embeds that break under filtering and keep AI replies inside the same content boundaries schools enforce on the web.
The app works on school networks and passes IT review.
Typical clients
National scale changes the problem. A company that sells in one state can read one statute and one model contract. A company selling in many states needs a product that adapts by configuration, documentation that answers every questionnaire consistently, and a release process that does not break a promise made to a district elsewhere. Here are the four kinds of teams we most often help with custom AI tutor app development in the USA.
You won your first districts locally and now face new contracts in other states, each with its own terms. Many districts use agreements from the Student Data Privacy Consortium, with state specific exhibits. We refactor your data model so the strictest terms can be applied per customer, add an audit trail for every access to student records, and produce architecture documents your team can attach to any questionnaire. Sales cycles shorten when security and privacy answers are consistent across every state.
One platform, many contracts, no forks.
Brands with learning centers or online tutors in many cities want AI practice between sessions without diluting the method parents pay for. We build the tutor on your curriculum, connect it to your scheduling and CRM systems, and give tutors visibility into every AI session. Because families buy direct, COPPA and state consumer privacy laws such as the CCPA, the Texas Data Privacy and Security Act and others guide consent and marketing choices.
AI extends your tutors across every location.
Publishers hold high quality, standards aligned content but often deliver it as static books or slide decks. We turn that library into structured lessons the tutor can retrieve and cite, protect the content from extraction through the chat, and keep it out of model training through provider terms. Adoption cycles differ by state, so we build tagging that serves several state adoption lists from one source. Editors can review and correct any lesson the tutor draws on.
Your content becomes interactive without losing control of it.
Institutions with online students across many states want course tutors that reduce drop off in gateway subjects such as algebra, statistics and composition. We ground the tutor in instructor materials, integrate with Canvas, Blackboard or D2L through LTI, and keep records under the institution's FERPA policies. Accessibility work follows the same WCAG standard public colleges are being held to.
Course help available whenever an online student is studying.
Working together
Companies launching a new tutor usually take a fixed scope first release covering one or two states. Companies with an existing platform often hire a team of AI tutor app developers USA wide product leaders can direct as an extension of their own engineering group. Ongoing retainers cover model upgrades, new state rules and content expansion. Cost depends on the number of states and standards frameworks, subjects and grade bands, integrations, accessibility depth, languages and model usage per learner.
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
A typical stack is React Native or native mobile apps, a TypeScript or Python backend, a policy service for state rules, a vector store over your content and a model gateway that lets you change AI providers without touching the apps.
01Mobile
02Data and cloud
03Marketing and tracking
Longer than a single market launch, and we set dates after discovery.
The schedule depends on how many states you launch in, how many standards frameworks the content must map to, the integrations your first buyers require and the time districts take to review security and privacy documents. We usually recommend a first release in one or two states, with the policy engine ready for more. That shortens the path to real student use and lets later states arrive as configuration work.
Schedule a free consultation and get a written recommendation, with costs, before you commit to anything.
Get in touchPROVEN RESULTS
Swift
Kotlin
Flutter
React Native
PostgreSQL
MySQL
MongoDB
AWS
Azure
Docker
GA4
Google Tag Manager
Search Console
Meta Pixel
Looker Studio