
Argmax is a technology company specializing in on-device AI platforms that enable developers to run foundation models locally on users' devices. Their flagship product, the Argmax SDK, allows deployment of state-of-the-art AI models offline, ensuring privacy, security, real-time performance, and predictable costs with fixed per-device pricing. Key products include WhisperKit Pro for speech-to-text transcription, SpeakerKit Pro for speaker recognition and diarization, and DiffusionKit Pro for running advanced diffusion models on Apple Silicon. Argmax targets developers and enterprises seeking private, reliable, and scalable AI solutions without cloud dependency. The company offers open-source and pro subscription plans, serving customers with enterprise-grade SLAs and custom support. Founded by former Apple ML research and inference engine leaders, Argmax is positioned as a leader in on-device AI inference technology with a strong focus on privacy and performance.

Argmax is a technology company specializing in on-device AI platforms that enable developers to run foundation models locally on users' devices. Their flagship product, the Argmax SDK, allows deployment of state-of-the-art AI models offline, ensuring privacy, security, real-time performance, and predictable costs with fixed per-device pricing. Key products include WhisperKit Pro for speech-to-text transcription, SpeakerKit Pro for speaker recognition and diarization, and DiffusionKit Pro for running advanced diffusion models on Apple Silicon. Argmax targets developers and enterprises seeking private, reliable, and scalable AI solutions without cloud dependency. The company offers open-source and pro subscription plans, serving customers with enterprise-grade SLAs and custom support. Founded by former Apple ML research and inference engine leaders, Argmax is positioned as a leader in on-device AI inference technology with a strong focus on privacy and performance.
What they do: On-device AI SDKs for running foundation models locally (speech, speaker recognition, diffusion)
Customers: Developers and enterprises seeking private, offline AI with per-device pricing
Founded: November 2023
Headcount: 16 employees
Seed funding: $8M led by Salesforce Ventures (Nov 2024)
On-device machine learning inference and developer tooling for speech, speaker recognition, and generative models.
2023
AI / Machine Learning
$8,000,000
Participation from General Catalyst, Julien Chaumond, Amjad Masad, Michele Catasta and other industry leaders