MacPaw and Liquid AI Partner to Build On-Device AI for the Mac

MacPaw and Liquid AI announced a long-term partnership today to co-develop an on-device AI technology stack built specifically for the Mac. Eney, MacPaw's AI assistant for macOS, will be the first product to use the new platform. MacPaw plans to expand it to additional products and, eventually, make it available to developers through Setapp.



The new AI platform combines Liquid AI's Liquid Foundation Models (LFMs), which will be designed specifically for macOS AI assistance, with MacPaw's Elix inference engine and Mnemos memory layer. Together, the technologies are designed to keep personal data on the Mac, deliver fast responses, and handle core AI tasks even without an internet connection. Cloud models will remain available where they are the better tool.


"After almost two decades of building software for the Mac, MacPaw is evolving its standalone products into a connected ecosystem, with AI as a core technology we build and own," said Oleksandr Kosovan, CEO and founder of MacPaw. "We believe intelligence should live where people work: private by design, fast by default, and be able to reach the cloud when that's the better tool."

Liquid AI says its foundation models are built to bring efficient AI directly to users' devices. "We build efficient foundation models and the tools around them so that companies can bring intelligence onto the devices their customers already use," said Ramin Hasani, co-founder and CEO of Liquid AI. "This partnership will bring efficient, private, on-device LFMs to millions of Mac users." The company's models are already used by Mercedes-Benz, Insilico Medicine, and Shopify for on-device AI workloads.

MacPaw says Eney already runs much of its intelligence locally, keeping reasoning, contextual search, skill execution, and conversation history on the device whenever possible. Rather than integrating another third-party model, the new partnership focuses on jointly developing the underlying AI infrastructure. After it debuts in Eney, the company plans to bring the shared models, inference framework, and memory layer to more of its own products. The same technology could eventually be made available to thousands of developers through Setapp, extending the platform beyond MacPaw's own applications.

Apple has also expanded its own on-device AI tools, including the Foundation Models framework and recent demonstrations showing developers how to run AI agents locally on the Mac using MLX. The partnership reflects a broader push toward running AI workloads directly on Apple silicon while keeping more user data on the device.