Our earliest capture with readable facts. This is our first observation, not when the company introduced these things. These website claims are not independently verified.
All facts above belong to this capture. Unlisted fields mean we have no readable observation, not that they were absent.
How it describes itself
Similar headlines are grouped together. The quote shown is from the last capture in each group, not necessarily the exact wording throughout that period.
October 2026 – November 2026 · 3 captures · latest observed messagingAutomation Foundation Models for Mobile, Wearables, AR glasses, Smart homes, Robotics, Automotive, Laptops, Game consoles, TVs, Microcontrollers Automation Foundation Models for Mobile
Automation foundation models for mobile, wearables, AR glasses, smart homes, robots, automotive, laptops, game consoles, TVs and microcontrollers. 2-bit, 8-29MB, runs locally, up to 4k tokens/sec.
15 October 2026 · Automation Foundation Models for Mobile, Wearables, AR glasses, Smart homes, Robotics, Automotive, Laptops, Game consoles, TVs, Microcontrollers Automation Foundation Models for Mobilearchived page
5 November 2026 · Automation Foundation Models for Mobile, Wearables, AR glasses, Smart homes, Robotics, Automotive, Laptops, Game consoles, TVs, Microcontrollers Automation Foundation Models for Mobilecurrent websiteHistorical capture not publicly available
6 November 2026 · Automation Foundation Models for Mobile, Wearables, AR glasses, Smart homes, Robotics, Automotive, Laptops, Game consoles, TVs, Microcontrollers Automation Foundation Models for Mobilecurrent websiteHistorical capture not publicly available
April 2026 – July 2026 · 2 capturesOn-device AI with cloud fallback
One inference engine for on-device AI across smartphones, laptops, and edge hardware. Run LLMs, transcription, and embeddings locally with automatic cloud fallback.
28 April 2026 · On-device AI with cloud fallbackarchived page
14 July 2026 · On-device AI with cloud fallbackarchived page
July 2025 – January 2026 · 4 capturesThe fastest way to deploy mobile AI
The fastest way to deploy AI models locally on smartphones. Build private, offline-ready mobile AI apps with Flutter, React Native, and Kotlin Multiplatform. Minimize latency, guarantee privacy, and d
11 July 2025 · Deploy Mobile AI in React Native Flutter Kotlin C++ React Nativearchived page
1 August 2025 · The fastest way to deploy mobile AIarchived page
31 October 2025 · The fastest way to deploy mobile AIarchived page
22 January 2026 · The fastest way to deploy mobile AIarchived page
Seen January 2025 · 1 captureCrowd-sourced AI compute
Discover compute that is not run on traditional GPUs, but rather on a distributed network of mobile devices. This yields cheaper, faster, more efficient runtimes.