Many applications require the computational power of large foundation models, but network latency, bandwidth limitations, and privacy concerns can hinder their deployment, especially on mobile and edge devices. Existing solutions often involve offloading computation to the cloud, which introduces delays and increases operational costs.

Argmax develops software frameworks that enable efficient on-device inference of foundation models, eliminating the need for cloud connectivity. Their flagship products, WhisperKit and DiffusionKit, optimize large language models and diffusion models for mobile and edge devices, offering real-time performance with minimal memory footprint. By leveraging techniques like model compression, quantization, and hardware-aware optimization, Argmax allows developers to integrate advanced AI capabilities directly into their applications, enhancing user experience and preserving data privacy. These tools empower applications ranging from real-time transcription in medical settings to on-device image generation.

WhisperKit: On-device speech-to-text framework optimized for Apple and Android devices, enabling real-time transcription with low latency.

SpeakerKit: On-device speaker diarization system for Apple Silicon, supporting speaker-related tasks.

DiffusionKit: On-device inference of diffusion models for Apple Silicon, enabling fast text-to-image generation.

Model compression and quantization techniques to reduce model size without significant accuracy loss.

Hardware-aware optimization for efficient inference on mobile and edge devices.

Support for streaming real-time inference for transformer models.

Enterprise-grade regression testing for on-device performance and quality benchmarks.

Argmax targets mobile app developers, healthcare providers, and enterprises seeking to deploy AI-powered features on-device, with a focus on applications requiring real-time performance, data privacy, and offline functionality.