A first look at the future of on-device AI models integrated into productivity tools
On-device intelligence for every product
We're building a frontier lab for on-device AI. Small, specialized models for audio, vision, and text, faster than the cloud and free.
Mirai Labs: Frontier On-Device AI Lab
Models, runtime & infrastructure to make on-device AI interactive, ambient & continuous.
Melange | On-device AI for Mobile
Select. Benchmark. Deploy | End-to-end on-device AI deployment tool for mobile devs.
Models on-device | Ai2
Ai2, a non-profit research institute founded by Paul Allen, is committed to breakthrough AI to solve the world’s biggest problems.
Automotive — Solutions — Liquid AI
On-device AI for automakers — real-time, personalized in-car assistants that run on the vehicle's existing CPUs and NPUs.
Physical AI for Industrial Automation | Sanctuary AI
Discover Sanctuary AI's production-ready Physical AI platform that helps industrial leaders automate complex and dynamic manufacturing tasks.
nWave – The AI-augmented Framework for Software Crafters
nWave, an open AI framework that replaces ad‑hoc prompting with repeatable SDLC waves: human intent + agent execution, so teams ship faster, safer, less rework.
What Would A Serious AI Product Look Like?
Every “AI” tool is missing critical features that you would need if you wanted to do real work with them. What would those look like, if they existed?
Osaurus — Own Your AI on Apple Silicon
Own your AI: local-first agents with memory, tools, and identity on Apple Silicon. Offline, open source, and API-compatible with OpenAI, Anthropic, and Ollama.
Osaurus — Own Your AI on Apple Silicon
Own your AI: local-first agents with memory, tools, and identity on Apple Silicon. Offline, open source, and API-compatible with OpenAI, Anthropic, and Ollama.
LukeW | Common AI Product Issues
At this point, almost every software domain has launched or explored AI features. Despite the wide range of use cases, most of these implementations have been t...
Play for On-device AI (beta) | Other Play guides | Android Developers
Play for On-device AI enables developers to efficiently distribute custom machine learning models via Android App Bundles and Google Play, offering various delivery modes and device targeting capabilities to optimize deployment on Android devices.
Desktop, Touch, Browser, Now AI? The Next OS in Computing
Explore how AI is reshaping human-computer interaction, from command lines to modern SaaS. Key insights on the next computing paradigm for startups and tech leaders.
Introducing Pipette: A benchmarking suite for on-device intelligence — Blog
Meet Pipette, an open-source platform for reproducible on-device AI benchmarks across models, quantization, runtimes and hardware.
Model Hardware Standard
A new standard for AI agents to safely operate physical equipment in scientific research and advanced manufacturing.
Everything is ugly, so go build something that isn't — Raiza Martin, Huxe (ex NotebookLM)