Services · Mobile app development · AI tutoring apps
Codeeo handles AI tutor app development for Dallas tutoring centers, charter networks, test prep companies and edtech founders across North Texas. We build tutors that coach a student through the next step instead of handing over the answer, keep every lesson tied to the Texas Essential Knowledge and Skills, and show parents and teachers what happened in each session. Because many users are children, COPPA and Texas student data rules are designed into the first sprint rather than patched in before launch.
Our team of 80+ works from Dubai, Riyadh and Karachi and meets Dallas clients by video call for discovery, design reviews and sprint demos. We have delivered 200+ projects across the UAE and the US and hold a 4.7 rating from 23 Google reviews.
200+ companies across the US and the UAEFrom a first store to a listed developer
What we build
An AI tutor proves itself when a sixth grader in Oak Cliff gets unstuck on fractions late in the evening and a parent in Plano can read a short summary of that session the next morning. The language model is only one part of that product. Around it sit the guardrails, the lesson structure it follows, the reports adults rely on and the controls that keep student records where they belong. For Dallas clients we usually begin with STAAR style practice in math and reading, add English and Spanish support, and build the staff tools that let a center or campus manage hundreds of learners without extra admin hours. Every feature below can go into the first version or wait for a later one, depending on your budget and launch window.
The tutor asks the next guiding question rather than solving the problem outright. We write prompt rules and refusal behavior per subject and grade band, then test them against the shortcuts students really try, such as pasting a whole worksheet or asking for the final answer three different ways.
Students practice the reasoning, so teachers are comfortable recommending the app.
Lessons, hints and practice items are tagged to Texas Essential Knowledge and Skills standards, so the tutor stays close to what the class covers this week. Practice sets follow STAAR question styles, including the newer item types, without copying released test material you have no rights to reuse.
Practice that matches a Texas classroom rather than a generic national syllabus.
Many Dallas families speak Spanish at home. The app can explain a concept in Spanish while keeping key academic vocabulary in English, which helps emergent bilingual students build both. Parent messages and consent screens follow the language the family picked when they signed up.
Families understand every screen, including the privacy ones.
For learners under 13, accounts start with verifiable parental consent under the FTC's COPPA Rule, using a method the updated rule accepts. Parents can review, export or delete their child's records inside the app, and a separate consent step appears before any disclosure that is not needed to run the tutor.
Consent records you can produce when a district or regulator asks.
Staff see which students are stuck, which standards keep producing wrong answers and which conversations the safety filter flagged. A tutor can step into a session, assign a practice set or record a short voice note that plays the next time the student opens the app.
Human tutors spend their time where the AI could not help.
Messages are screened for signs of self-harm, bullying and personal details a child should not share, such as a home address. Flags go to a named adult at your organization with the surrounding conversation, while the tutor follows a calm, scripted reply until that person responds.
Concerns reach a real person quickly, with a record of what was done.
Not every household across Dallas County has fast home internet. Practice sets and worked examples cache on the device, answers sync once the phone reconnects, and the chat falls back to hints already downloaded when the signal drops.
Practice keeps going on a bus ride or a weak connection.
For centers that blend AI practice with human sessions, families book a tutor, get reminders and pay through Apple Pay, Google Pay or card checkout. Before the call starts, the tutor opens the student's AI history and sees exactly which steps went wrong.
Live sessions begin from what the student already attempted.
School leaders get reports by grade, standard and student group, exported in formats their data team already uses. Reports show time on task and mastery trends instead of raw chat transcripts, which keeps the data shared with each school to what it needs.
Reporting that supports intervention planning without oversharing.
Who we work with
The right first version depends on who pays, who signs the data agreement and who opens the app every day. A tutoring center selling straight to parents carries different obligations from a vendor selling to Dallas ISD or a suburban district. These are the four starting points we see most in North Texas, and what changes in each one.
Centers in Dallas and nearby Richardson, Plano and Frisco want students practicing between visits. We build a branded app that carries the center's own methods into the AI, lets staff assign homework from the dashboard and sends parents a short weekly summary. Because families sign up directly, COPPA consent and, depending on your size, the Texas Data Privacy and Security Act shape onboarding. We keep marketing data apart from learning data, so a parent can refuse one without losing the other.
Your teaching method stays yours; the AI follows it.
District buyers often ask vendors to sign the Texas Student Privacy Alliance data privacy agreement before a pilot begins. Chapter 32 of the Texas Education Code also bars operators of school-purpose apps from targeted advertising and from selling student information. We design the data model, logging and deletion workflows so your answers on a district questionnaire are true from day one, and we support sign-in through tools such as Clever or ClassLink.
A clean privacy answer often decides whether a pilot goes ahead.
Networks running several Dallas campuses need one platform with campus level permissions, shared content and separate reporting. Under FERPA, an app vendor can act as a school official only while under the school's direct control, so we build admin settings that let the network decide retention periods, which staff can read transcripts and when records are purged after the school year. Teachers use the same tutor on every campus, while each principal sees only their own students.
Central content, local control over records.
Founders building a direct to family app need something real students can test early, without collecting more data than the test requires. We shape a first release around one subject and one grade band, add analytics that never track children for advertising, and set up model hosting so you can switch providers later. Tutoring for students at UT Dallas, SMU or Dallas College is often a simpler place to start, because adult learners fall outside COPPA.
Start narrow, show learning gains, then widen.
Ways to work with us
Most Dallas clients start with a fixed scope first release covering one subject plus the consent, safety and reporting pieces around it. After launch, a monthly retainer keeps prompts, content and integrations current as standards and models change. Larger edtech companies sometimes add a dedicated team that works inside their own sprint process. Cost depends on how many subjects and grade bands you cover, whether Spanish is needed, how many systems we connect to, model usage per student and the depth of safety review your buyers expect.
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
We choose the stack around your data rules: React Native or native iOS and Android apps, a Next.js dashboard, and model providers picked for their education data terms, with retrieval over your own lessons so answers stay grounded in what you teach.
01Mobile
02Data and cloud
03Marketing and tracking
It depends on scope, and we fix dates once discovery is finished.
The main timing drivers are the number of subjects and grade bands, whether the app needs Spanish, how many school systems it connects to and how long your buyers take to review privacy paperwork. A single subject tutor for one age group moves much faster than a full K-12 platform. After discovery you get a written plan with milestones, and we flag anything outside our control, such as district security reviews or app store review, so it is planned for rather than found late.
Schedule a free consultation and get a written recommendation, with costs, before you commit to anything.
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