MOBILE AI DEPLOYMENTMobile AI Deployment for iOS and Android Apps
We put a trained model on the phone so it can still give an answer when the internet is slow. Camera checks, voice, or simple scores. If you already have a model, we can help you run it in the app.
model = load_trained(path)lite = convert_to_tflite(model)lite.save('model.tflite') # then load in the iOS or Android app150+
Projects delivered
2012
Year we started
80+
Clients
98%
Client satisfaction
About Mobile AI Deployment
Mobile AI deployment means the model runs on the phone, not only on a far away server. The app sends a photo or a short sound, and the phone still give an answer. That is useful in a lift, a warehouse, or any place the signal drop.
Companies use it when waiting for the cloud is too slow, or when they do not want every file leaving the device. We keep the talk simple. You do not need to know the conversion steps. We tell you what will run on the phone and what still needs the server.
Why Choose Mobile AI Deployment
Works with weak internet
The main check can run on the device, so the app don't freeze just because the tower is busy.
Faster for the user
A small model on the phone is often quicker than sending every frame to a server.
Less data leaving the device
Photos and voice can stay on the phone if that is what your product needs.
Fits the apps you already have
We can add it to an iOS, Android, Flutter or React Native app instead of starting from zero.
We start with a small build
First we try one feature. If the phone stays cool and the answers look ok, we go further.
What We Do With Mobile AI Deployment
We shrink the model and put it in the app. Usual tools are TensorFlow Lite, Core ML, ONNX and PyTorch. Flutter or React Native if your app is already built that way.
Make the model small enough
We convert and cut the file so it fits on a phone without draining the battery too fast.
Wire it into the app
Camera, mic or a simple form can call the model and show a result on the screen.
iOS and Android
Core ML on Apple phones, TensorFlow Lite on Android, or one shared setup when that is enough.
Check on real devices
We test speed and heat on actual phones, not only on a laptop simulator.
Benefits for Your Business
The app still works offline
A field team can keep using the feature when the network is poor.
Lower cloud bills
You are not sending every photo to a server just to get one label.
Feels quicker to users
Answers show up on the screen without a long loading wait.
Easier to keep private
Sensitive files can stay on the device if that is part of the product.
Ready to talk?
If you have a idea for mobile AI deployment, send us a short note and what phones you support. We will look at it and tell you the next step.
Contact us