AI mobile app development

You need an app your customers keep. We build the one that earns its place on the phone.

We build the iOS and Android product your business needs, designed for the connection your users actually have. Every model call from a phone is a network round trip, and we build around that rather than discovering it at launch.

  • Inference decided per feature, not per app
  • Built for a closed testing track first

What AI mobile app development is

AI mobile app development is the work of building an iOS and Android product with a model doing real work inside it. The hard part is never the model itself. Artificial intelligence for iOS and Android runs into one wall, which is that every call to a model leaves the phone. Our AI mobile app development services settle where each feature runs before anybody draws a screen.

Where mobile AI apps fall over

Everything works in testing, and testing happens on office wifi with a charger plugged in. Then it ships, and the first thousand people to open it are somewhere else entirely.

  • 01

    Every feature became a round trip

    Somebody wired each smart feature to an API call because that was the fastest thing to build. The app now waits on a server four times a screen, and it feels like the phone is broken.

  • 02

    There is no answer for no signal

    The design covers what the screen shows once an answer has come back from the model. Nothing was drawn for the minute when it does not, so the user gets a spinner and then an error.

  • 03

    The data questions arrived at submission

    The store asks what the app collects and where it goes, and it asks at the end. An answer worked out after the build means either a rushed rewrite or a form somebody filled in hopefully.

How we build for a real network

  • 01

    On device or on the server, decided per feature

    Each feature gets the question asked separately, on what it costs and how fast it has to answer. A small local model handles some of them, and the rest go out to a large one.

  • 02

    The degraded state is a design, not an error screen

    We draw the screen for no signal at the same time as the screen for a good one. The app keeps doing what it can, queues the rest, and catches up when the line comes back.

  • 03

    What you collect gets settled in week two

    The data questions get answered while there is still time to change what the answer is. That is a build decision, and it is much cheaper than a rewrite three days before submission.

How the first three weeks run

  1. Week 1

    01We find out where the app will actually be used

    Two days on who opens this and on what their connection is doing at the time. That single answer shapes more of the architecture than the whole feature list put together.

  2. End of week 2

    02You get a costed plan

    The plan names which features run on the phone and which go to a server, with a price on each. The data safety answers are written down in it too, months before anybody submits anything.

  3. From week 3

    03It goes to a closed track early

    Real devices on real networks get the build long before there is a store listing. Testers on a bad line find in a week what an office never finds at all.

A general mobile build against an AI mobile build

Both end with an app in both stores. They differ on what the app does at the moment the connection stops holding, which is often.

MeasureA general buildAn AI mobile build
Where inference runsWherever the SDK defaults toDecided per feature, on cost and speed
With no signalThe feature is unavailableThe app works, the model catches up
What it costs the userBattery and data nobody measuredBudgeted, and measured on 3G
Store reviewData questions answered at submissionAnswered during the build
Who runs it afterA team you have to keepYours, with the handover written down

The mobile products we build

Three phone products, and in every one the network was the constraint that decided the architecture. The feature lists are the least interesting thing about them.

Consumer, 2G and 3G

Four products on one bandwidth budget

Chat and a wallet shipped as one install for a market where the usual assumptions do not hold. Every layer of the stack was tuned against the connection, because the slowest part sets the speed of the product.

Social, a million users

A swipe that never asks you to wait

A short video feed with live rooms behind the same login, past a million users after release. The next video has to be there before the thumb finishes moving, which is an infrastructure problem rather than an interface one.

Media and permissions

Anything that touches the camera or the microphone

A feature that reads an image or listens to a room is the one the store looks hardest at. What it collects and where that goes gets decided in the build, because the answer belongs in the app rather than in a form.

The line between the phone and the server

One decision shapes an AI mobile app more than any other, and it is where each piece of thinking happens. It is worth making deliberately rather than inheriting it from whatever an SDK defaults to.

The phone decides
Anything that has to answer with no signal, and anything private enough that it should never leave the device.
The server decides
Anything that needs a large model, or a model you intend to swap out later without shipping an update.
The line is written down
It is an architecture decision made once, rather than a default inherited from whichever SDK arrived first.

What an AI mobile app is built from

Everything here is what the product would have used anyway, and none of it is a requirement. Anything running on the device itself gets confirmed against your own hardware before it goes in the plan.

Where the thinking happens
ClaudeReading what people write
GPTGeneral purpose work
Vision modelsAnything the camera sees
What the app is made of
FlutteriOS and Android from one build
TypeScriptShared across both
ReactThe web half of the same product
What it talks to
LaravelWhere your rules live
PostgreSQLRecords, in your account
RedisThe queue a failed call waits in
What people say

Not our words.
Theirs.

Every quote here is a real Trustpilot review. We did choose which ones to show you. The score beside them is the part we do not control, and it counts all 29 reviews.

Trustpilot4.4out of 5Excellent29 reviews · checked 19 August 2026Read all of them

These reviews are for Appkodes, our software product division.

YouTube

A Joysale client on the product and the service

He runs a marketplace built on Joysale, our Letgo style product. The clip is his own account of working with us.

YouTube

A Fantacy client on the build

Fantacy is our Amazon style retail product. He goes through what was built and how the work ran.

YouTube

An Airfinch client, filmed after his written review

Airfinch is our Airbnb style rentals product. He had already left the same review on GoodFirms before recording this.

YouTube

A second Joysale client on the same product

Another marketplace running on Joysale. Worth watching beside the first, since the two bought the same thing.

Trustpilot
I've worked with Appkodes for 7 years on 4 different projects. We constantly require support or the implementation of new features, and we have the guarantee that the quality of their work remains the same throughout this time.
Juan VásquezCLJuan VásquezSep 2025
Trustpilot
Appkodes exceeded all of our expectations! From the very first contact, the team demonstrated a high level of professionalism, technical expertise, and commitment to quality.
Global SoftwinBRGlobal SoftwinMay 2025
Trustpilot
Appkodes team helped me to launch my healthcare application very quickly. Their software was very close to my requirements and adding some extra features made my project easy.
WassimFRWassimApr 2025
Trustpilot
I so much love your services and I will continue to patronize your company.
Kolawole Alaba JohnsonNGKolawole Alaba JohnsonApr 2025
Trustpilot
I worked with AppKodes for a website and mobile app development project, and overall, I'm very satisfied with the results. Their team was responsive and flexible throughout the process, and they delivered a product that met my expectations both in design and functionality.
Яша ФирузAUЯша ФирузApr 2025
Trustpilot
It was a good experience working with the team. They understood my ideas clearly and built everything as expected. The team was supportive, quick to respond, and helped me whenever I needed changes. Thank you for your hard work and support!
Prem SharmaCAPrem SharmaApr 2025
Trustpilot
I have got a mobile app project going on successfully with the team. Their Support is good. turn around time for any requirement is great. Every detail of my app is meticulously designed. THANK YOU APPKODES.
FFINFast Fiber NetworksApr 2025
Trustpilot
Appkodes is a leader in developing high-quality applications and websites. It was a pleasure working with them, and this certainly won’t be our last collaboration. My experience was exceptional, they developed an outstanding app and website, with smooth and refined interactions.
BSABaderApr 2025
Trustpilot
Overall very good experience. I have been availing services for past 3 years. They are available for discussions and resolving issues whenever we faced any. Mr. Saravana has been looking after our project and I'm very much happy with his timely response. I would definetely recommend.
Vannala RajuINVannala RajuApr 2025
Trustpilot
Initially, I was hesitant to deal with them, believing their customer service would be poor. However, I was surprised. They act with great responsibility and professional efficiency. My regards to them.
Ahmed NhariMAAhmed NhariApr 2024
Trustpilot
You have been supporting me very quickly in every matter, especially in the last 2 months, and this makes me very happy.
Deniz SeçerTRDeniz SeçerJan 2024
Trustpilot
Very professional. Our project was quite complex and they covered all the aspects. Appkodes did an amazing and professional job developing and creating our Apple and Android apps. I was positively impressed with the communication you can absolutely trust on what they say.
Anu JosephOMAnu JosephJul 2023
Trustpilot
Mani and Saravanan of the Appkodes team are amazing, they have done the best to create and support my project! I give them 10/10 stars for their efforts and work!
Joely CineasUSJoely CineasJul 2023
Trustpilot
It was really great, they are there for me whenever I had a problem or to fix something. Thank you so much Ameer
GomezCAGomezApr 2023
Trustpilot
I've been working with Appkodes for almost a year and i can recommend them to work with as they are so much friendly and professional and you can clearly see it once you start your project right away. They are intact and they are transparent with their communication.
JohnUSJohnFeb 2023
Trustpilot
I have to be honest, sometimes it's hard to find a company or someone abroad to do your project. Not only might you waste your time and money, there is this thing called trust. In business you must trust the person you are dealing with.
Zack GizawUSZack GizawDec 2022
16 of 29 reviews, plus 4 videos

Businesses we have built for

Bring the NoiseByChatChosenHandy FeetStuffillVRA Health

Frequently asked questions

Does the AI run on the phone or on your servers?

Both, and the split is decided feature by feature rather than once for the whole app. A small model on the device answers instantly and works with no connection, at the cost of being weaker. The large models stay on a server, so anything that needs real reasoning goes out to one.

What does the app do with no connection?

It carries on, which is a thing somebody has to design rather than a property it gets for free. Work the phone can do itself still happens. Anything that needs the server is queued and sent when the line comes back, and the person using it is told which.

How do you handle app store review with AI features?

The data questions get answered during the build rather than on the submission form itself. What the app collects and where that data goes are both build decisions rather than paperwork. Nobody controls a review outcome, here or anywhere else, and a page that promises one is telling you something it cannot know.

What does AI powered mobile application development include?

The product build for iOS and Android, and the model work that sits inside it. Store submission is part of it, along with the data safety answers each store asks for. You get the source and a runbook at the end, in accounts that already carry your name.

Do you build native or cross platform?

Cross platform for most of it, using Flutter, which gives you iOS and Android from one build. Machine learning mobile apps are where that choice needs checking, because anything running on the device itself can be platform specific. That gets settled in week one rather than assumed at the start of the build.

We want to test the idea before building the whole app. Is this the page?

Probably not, and testing first is usually the better order. Our custom AI MVP development page covers the smaller version, which is one slice built far enough to answer the question. Come back here when the answer is yes.

Next step

Build it for the worst connection.
Not the office wifi.

Tell us who opens this app, and what their connection is doing while they use it. Two weeks later you have a costed plan with the phone or server line already drawn.

Eighteen years of excellence