MacPaw taps Liquid AI to offer on-device inference to devs building for its app store
MacPaw is building a local version of its AI assistant Eney using Liquid AI's models. Ukraine-based app developer MacPaw has partnered with Liquid AI to power its products with locally hosted AI models, and eventually make the tech stack available to developers. The company is also preparing its SetApp app store for AI apps with credit-based plans for users.
Key Takeaways
- MacPaw is currently working on its AI assistant Eney, which it unveiled last year , and now plans to build a locally hosted version, for which it has roped in Liquid AI to develop an on-device inference system called Elix as well as a local memory system.
"Before training our models, we select an architecture that is different and tailored to the hardware.
- Notably, Apple already provides its own local models to developers.
But Hasani maintains that Liquid AI's models focus on performance for different capabilities.
- We want our models to be adaptable and become more intelligent over time," Hasani said.
MacPaw plans to focus more on AI apps for its subscription-based app store, SetApp, which has over 150,000 paying users.
- MacPaw is already experimenting with credit-based pricing for the app store, where users can perform a certain number of AI operations based on the credits they have and the complexity of the task.
Ivan Mehta Ivan covers global consumer tech developments at TechCrunch.
- No matter your goal, Disrupt can empower you.
Stats & Key Facts
- #MacPaw plans to focus more on AI apps for its subscription-based app store, SetApp, which has over 150,000 paying users.
MacPaw is currently working on its AI assistant Eney, which it unveiled last year , and now plans to build a locally hosted version, for which it has roped in Liquid AI to develop an on-device inference system called Elix as well as a local memory system. "Before training our models, we select an architecture that is different and tailored to the hardware. That allows us to really have the most efficient version of intelligence that runs directly on the device, with benefits like privacy and security," Liquid AI's co-founder and CEO Ramin Hasani told TechCrunch.
MacPaw's CEO Oleksandr Kosovan said locally hosted AI models will also give users the ability to run assistants and agentic workflows offline. Notably, Apple already provides its own local models to developers. But Hasani maintains that Liquid AI's models focus on performance for different capabilities.
"We are also building a customization stack around models. This means that with user input, the models can use the data and improve. We want our models to be adaptable and become more intelligent over time," Hasani said.
For more details please read the original article at TechCrunch AI.
Continue Learning
Comments
Sign in to join the conversation