FOUNDATION MODELS ON DEVICE

Private.
Real-time.
Predictable.

The first commercial-grade on-device inference framework for running state-of-the-art AI models offline on users' devices.

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Hugging Face

Go On-Device

Argmax SDK

Start with Open-source. Scale with Pro.

WhisperKit PRO

Ship state-of-the-art speech-to-text on device with WhisperKit Pro

WhisperKit Pro takes open-source WhisperKit to the next level with significantly faster inference, real-time streaming and enterprise-grade SLAs.

Try Pro on our demo App.

SpeakerKit PRO

Ship state-of-the-art speaker recognition on device

SpeakerKit Pro is an evolution of Pyannote optimized for speed without compromising accuracy.

Read the research paper.
Try it on our demo App.

DiffusionKit

DiffusionKit Pro allows you to run the most advanced diffusion models on device.

We’ve converted the most advanced diffusion models available in order to run on Apple Silicon with CoreML and MLX. DiffusionKit Pro is currently undegoing development.

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Articles

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Scribe

Argmax partners with ModMed in deploying ModMed's state-of-the-art medical specialty-tuned speech recognition model for real-time on-device transcription with WhisperKit Pro.

March 11, 2025

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SpeakerKit

Argmax launches SpeakerKit, a state-of-the-art on-device speaker diarization framework with wide compatibility and compact footprint of less than 10 MB.

March 7, 2025

Product

WhisperKit

Argmax has open-sourced WhisperKit in beta under the MIT license, enabling fast and efficient Whisper inference on Apple devices. With a Swift package for easy integration, a sample app on TestFlight, and Python tools for optimization, Argmax aims to bring state-of-the-art automatic speech recognition on device to mainstream.

January 30, 2024

Product