MacPaw Partners with Liquid AI to Build On-Device AI Stack for Mac Developers

MacPaw and Liquid AI Form Strategic Partnership for Local Processing

Ukraine-based app developer MacPaw has announced a strategic partnership with Liquid AI to co-develop an on-device AI technology stack specifically built for Mac1

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. The collaboration centers on creating local AI models that prioritize privacy and offline functionality, marking a significant shift toward privacy-preserving computing in consumer applications. Liquid AI will develop Elix, an on-device inference system, alongside a local memory system called Mnemos that will enable MacPaw's products to process data directly on users' devices without relying on cloud servers3

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AI Assistant Eney Gets Local Intelligence Upgrade

The strategic partnership will first focus on enhancing MacPaw's AI assistant Eney, which the company unveiled last year1

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. Eney already shifted to a local model previously, keeping reasoning, contextual search, skill execution, and conversation history on the device whenever possible2

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. Liquid AI's Liquid Foundation Models will be adapted specifically for Mac-based assistance and integrated with MacPaw's proprietary technologies. Ramin Hasani, Liquid AI's co-founder and CEO, explained that the company selects architecture tailored to hardware before training models, allowing for the most efficient version of intelligence that runs directly on the device with benefits like privacy and security1

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On-Device Inference Enables Offline Agentic Workflows

MacPaw CEO Oleksandr Kosovan emphasized that local AI models will give users the ability to run assistants and agentic workflows even without an internet connection1

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. This approach ensures user data stays on their computers while improving performance and speed. Hasani added that Liquid AI is building a customization stack around models, meaning that with user input, the models can use the data and improve over time, making them adaptable and increasingly intelligent1

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. While Apple Intelligence already provides local models to developers, Hasani maintains that Liquid AI's models focus on performance for different capabilities, offering a distinct advantage in the on-device AI landscape.

Setapp App Store Prepares AI Technology Stack for Mac Developers

Once the AI technology stack for Mac has been tested and implemented in Eney, MacPaw plans to make it available to Mac developers through its Setapp app store, which currently serves over 150,000 paying users1

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. Kosovan stated that the platform will provide access to both local models and cloud services from companies like Google, acting as a one-stop shop for developers building AI-powered applications1

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. This could allow participating apps to expose more of their capabilities and context to Eney, enabling the assistant to understand what is inside an app and provide more useful answers or take relevant actions2

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Credit-Based Pricing Model for AI Operations

MacPaw is already experimenting with credit-based pricing for the Setapp app store, where users can perform a certain number of AI operations based on the credits they have and the complexity of the task1

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. This pricing structure reflects the computational demands of different AI features and provides a flexible approach for users engaging with AI-powered applications. The move positions Setapp to become a leader in delivering accessible, privacy-focused AI tools to Mac users while creating new monetization opportunities for developers in the ecosystem3

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