On-device AI for automakers — real-time, personalized in-car assistants that run on the vehicle's existing CPUs and NPUs.
Liquid AI — Device-native foundation models.
Liquid AI is an efficiency-first foundation model company. We build highly capable, compute-optimized models that bring intelligence to any device and medium of choice.
Introducing On device AI capabilities inside the Craft Assistant
A first look at the future of on-device AI models integrated into productivity tools
MacPaw Partners with Liquid AI to Bring On-Device AI to Millions of Mac Users — Blog
MacPaw partners with Liquid AI to bring private, fast, on-device AI to millions of Mac users, starting with the Eney assistant for macOS.
AI agent runs amok in Fedora and elsewhere
Agentic AI systems can be used to do a variety of things autonomously on behalf of a human user [...]
Meet Foundry: An AI Startup that Builds, Evaluates, and Improves AI Agents
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...
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.
Liquid AI Launches LEAP and Liquid Apollo: The Easiest Way to Build with On-Device AI | Liquid AI
Today marks a pivotal milestone in the evolution of edge AI. Liquid AI is thrilled to announce LEAP v0, our first developer-ready platform for on-device AI deployment—and Liquid Apollo, a lightweight iOS-native application built to showcase and stress-test small foundation models directly on your phone.
How Uber uses AI for development: inside look
How Uber built Minion, Shepherd, uReview, and other internal agentic AI tools. Also, new challenges in rolling out AI tools, like more platform investment and growing concern about token costs
ZETIC | On-Device AI for Everything - for any model, on any device, in any framework
Built by ex-Qualcomm AI Engineer. Automate on-device AI deployment with full NPU optimization. Benchmark on 100+ physical devices and ship in hours with just 3 lines of code.
Advancing AI Infrastructure for Agentic AI with NVIDIA DOCA In-Silicon Security | NVIDIA Technical Blog
The AI era is driving a new class of infrastructure: AI factories that transform data into intelligence for autonomous AI agents operating at unprecedented scale. Powered by accelerated computing…
Liquid <> .txt Collaboration | Liquid AI
Faster and more accurate function calling on the edge with .txt’s structured outputs and Liquid Foundation Models
Melange | On-device AI for Mobile
Select. Benchmark. Deploy | End-to-end on-device AI deployment tool for mobile devs.
Mirai Labs: Frontier On-Device AI Lab
Models, runtime & infrastructure to make on-device AI interactive, ambient & continuous.
