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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
| Measure | A general build | An AI mobile build |
|---|---|---|
| Where inference runs | Wherever the SDK defaults to | Decided per feature, on cost and speed |
| With no signal | The feature is unavailable | The app works, the model catches up |
| What it costs the user | Battery and data nobody measured | Budgeted, and measured on 3G |
| Store review | Data questions answered at submission | Answered during the build |
| Who runs it after | A team you have to keep | Yours, with the handover written down |
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.
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.
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.
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.
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.
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.
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.
These reviews are for Appkodes, our software product division.
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.
A Fantacy client on the build
Fantacy is our Amazon style retail product. He goes through what was built and how the work ran.
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.
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.
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.

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.

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.

I so much love your services and I will continue to patronize your company.

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.

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!

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.
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.
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.

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.

You have been supporting me very quickly in every matter, especially in the last 2 months, and this makes me very happy.

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.

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!

It was really great, they are there for me whenever I had a problem or to fix something. Thank you so much Ameer

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.

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.

Businesses we have built for












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.
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.
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.
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.
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.
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.
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.

