Argmax

    Argmax

    Tech
    STT

    On-device AI SDK enabling fast, privacy-focused deployment of advanced models.

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    About Argmax

    Argmax: On-Device AI Developer Tools for Efficient Model Deployment


    Argmax offers an AI SDK that allows developers to deploy state-of-the-art AI models directly on user devices, eliminating reliance on cloud processing. This approach prioritizes speed, energy efficiency, and privacy by utilizing advanced optimizations for hardware such as Apple Silicon. Key products include DiffusionKit Pro for diffusion models and SpeakerKit for speaker diarization, with additional tools like Argmax Local Server to extend on-device capabilities to broader applications.

    Key Features

    • On-Device AI SDK: Enables deployment of advanced AI models offline on various devices, ensuring faster inference and enhanced privacy.

    • DiffusionKit Pro: Runs sophisticated diffusion models on device, optimized especially for Apple Silicon with CoreML and MLX support.

    • SpeakerKit: Provides leading speed and accuracy for speaker diarization tasks in real-time speech processing.

    • Argmax Local Server: Expands on-device AI to apps without requiring deep SDK integration, suitable for transcription and meeting notes.

    • Multi-language Support: Provides Python, JavaScript, and Rust clients for versatile application integration.

    • Efficient Performance: Benchmarked for low power usage, reduced resource contention, and all-day battery life on mobile devices.

    Use Cases

    • Mobile app developers integrating advanced AI without cloud dependencies.

    • Privacy-conscious applications requiring data processing locally on user devices.

    • Real-time speech transcription and speaker diarization services.

    • AI-powered meeting notes applications needing offline capabilities.

    Getting Started


    Website: https://www.argmaxinc.com

    Argmax empowers developers to build fast, secure, and efficient AI applications by leveraging cutting-edge hardware optimizations for on-device execution, advancing privacy and performance in AI deployment.