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Product Keywords
NexaSDK for Mobile is a software development kit that enables developers to run the latest multimodal AI models directly on iOS and Android devices. It leverages Apple Neural Engine and Snapdragon NPU acceleration to deliver on-device inference for chat, multimodal, search, and audio features. With just three lines of code, developers can integrate AI capabilities that operate entirely offline, eliminating cloud costs and ensuring complete user privacy.
NexaSDK supports the latest multimodal models, allowing apps to process text, images, and audio simultaneously on the device. This enables features like visual search, voice commands, and contextual chat without any network dependency.
The SDK taps directly into Apple Neural Engine on iOS and Snapdragon NPU on Android, delivering 2x faster processing compared to cloud-based solutions. It also achieves 9x better energy efficiency, preserving battery life during intensive AI workloads.
Adding AI capabilities requires only three lines of code, making it accessible even for developers without deep machine learning expertise. The SDK handles model loading, inference, and hardware optimization automatically.
All processing happens locally on the device, meaning no data ever leaves the user's phone. This eliminates cloud costs entirely and ensures compliance with strict privacy regulations.
"Run the latest multimodal AI models fully on-device with no cloud cost, complete privacy, 2x faster speed, and 9x better energy efficiency."
This combination of performance, privacy, and cost savings is rare in the mobile AI space. Most alternatives either compromise on privacy by sending data to the cloud or sacrifice speed and battery life for on-device processing. NexaSDK delivers all four benefits simultaneously, making it a practical choice for production apps that need real-time AI features without trade-offs.
You are building a mobile app that requires AI features like chat, image recognition, or audio processing, and you want to keep everything on-device for privacy and cost reasons. It's especially relevant if your users expect instant responses and long battery life, or if you operate in regulated industries where data cannot leave the device.
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moonbyte
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