AppNext

AppNext

Affle
LiteRT

LiteRT

Google
+
+

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About

Appnext blends app recommendations as a service that integrates seamlessly with the users' daily mobile journey. Utilizing its proprietary 'Timeline' technology, Appnext predicts which apps the users are likely to use next. With 300 million daily active users, 20+ on-device daily interactions through strategic OEM partnerships and 60,000+ apps, Appnext is the leading independent app recommendation platform delivering over 4 billion app recommendations per day. Appnext is the largest app discovery platform, offering the only recommendation engine on the market, which encompasses both in-app and on-device discovery. Through its direct partnerships with top OEMs, operators and app developers, Appnext creates a new discovery experience in over 10,000 mobile touchpoints, utilizing its ‘Timeline’ technology that predicts the app users are likely to use next. Appnext’s recommendations are helping app marketers reach more engaged users and get their apps discovered, used and re-used.

About

LiteRT (Lite Runtime), formerly known as TensorFlow Lite, is Google's high-performance runtime for on-device AI. It enables developers to deploy machine learning models across various platforms and microcontrollers. LiteRT supports models from TensorFlow, PyTorch, and JAX, converting them into the efficient FlatBuffers format (.tflite) for optimized on-device inference. Key features include low latency, enhanced privacy by processing data locally, reduced model and binary sizes, and efficient power consumption. The runtime offers SDKs in multiple languages such as Java/Kotlin, Swift, Objective-C, C++, and Python, facilitating integration into diverse applications. Hardware acceleration is achieved through delegates like GPU and iOS Core ML, improving performance on supported devices. LiteRT Next, currently in alpha, introduces a new set of APIs that streamline on-device hardware acceleration.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anapp discovery and recommendation platform that enables top mobile handset manufacturers (OEMs) and apps developers to deliver personalized app recommendations to mobile users globally

Audience

Mobile application developers in search of a tool to integrate efficient, on-device AI capabilities into their apps

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Affle
Founded: 2005
United States
www.appnext.com

Company Information

Google
Founded: 1998
United States
ai.google.dev/edge/litert

Alternatives

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services
AppLovin Max

AppLovin Max

AppLovin

Categories

Categories

App Monetization Features

Banner Ads
Data Monetization
Dynamic Product Ads
Native Ads
Playable Ads
Rich Media Ads
Sponsorships
Subscriptions
Video Ads

Integrations

AdMobiSpy
C++
Google AI Edge Gallery
JAX
Java
Kochava
Kotlin
MyTracker
Objective-C
PyTorch
Python
Swift
TensorFlow

Integrations

AdMobiSpy
C++
Google AI Edge Gallery
JAX
Java
Kochava
Kotlin
MyTracker
Objective-C
PyTorch
Python
Swift
TensorFlow
Claim AppNext and update features and information
Claim AppNext and update features and information
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