Image Credits:MacPaw5:28 AM PDT · August 5, 2026
Ukraine-based app developer MacPaw has partnered up with Liquid AI to powerfulness its products with locally hosted AI models, and yet marque the tech stack disposable to developers. The institution is besides preparing its SetApp app store for AI apps with credit-based plans for users.
MacPaw is presently moving connected its AI adjunct Eney, which it unveiled past year, and present plans to physique a locally hosted version, for which it has roped successful Liquid AI to make an on-device inference strategy called Elix arsenic good arsenic a section representation system.
“Before grooming our models, we prime an architecture that is antithetic and tailored to the hardware. That allows america to truly person the astir businesslike mentation of quality that runs straight connected the device, with benefits similar privateness and security,” Liquid AI’s co-founder and CEO Ramin Hasani told TechCrunch.
MacPaw’s CEO Oleksandr Kosovan said locally hosted AI models volition besides springiness users the quality to tally assistants and agentic workflows offline.
Notably, Apple already provides its ain section models to developers. But Hasani maintains that Liquid AI’s models absorption connected show for antithetic capabilities.
“We are besides gathering a customization stack astir models. This means that with idiosyncratic input, the models tin usage the information and improve. We privation our models to beryllium adaptable and go much intelligent implicit time,” Hasani said.
MacPaw plans to absorption much connected AI apps for its subscription-based app store, SetApp, which has implicit 150,000 paying users.
Once it locks successful the section processing architecture with Liquid AI, MacPaw wants to marque the tech disposable to developers truthful they tin usage on-device inference with their apps. Kosovan said the level volition besides supply entree to different unreality models from companies similar Google, acting arsenic a one-stop store for developers.
MacPaw is already experimenting with credit-based pricing for the app store, wherever users tin execute a definite fig of AI operations based connected the credits they person and the complexity of the task.
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Ivan covers planetary user tech developments astatine TechCrunch. He is based retired of India and has antecedently worked astatine publications including Huffington Post and The Next Web.
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