Realtime AI News
MacPaw taps Liquid AI to bring on-device inference to its app store developers
MacPaw is building a local version of its AI assistant Eney using Liquid AI's models, according to TechCrunch. The move will offer on-device inference to developers building for MacPaw's app store.
MacPaw is building a local version of its AI assistant Eney using models from Liquid AI, TechCrunch reported on August 5.
The effort is aimed at developers building for MacPaw's app store: they will be able to run AI inference directly on the device rather than relying on cloud APIs.
Eney is MacPaw's AI assistant, and moving it on-device with Liquid AI's models changes how AI features are delivered across the company's software ecosystem.
On-device inference has become an increasingly attractive option for app makers because it can reduce latency, cut server costs, and keep user data on the device.
The partnership also gives Liquid AI's models a direct route into MacPaw's developer ecosystem, a meaningful step for the model provider.
For developers, the appeal is straightforward: AI features that run locally can work offline and avoid sending sensitive data to the cloud.
What to watch next: how well the local Eney performs against cloud-based assistants in practice, what tools MacPaw provides to ease integration, and whether other app-store operators follow with similar on-device offerings.
Why it matters
Brings on-device AI inference to MacPaw's app-store developers via Liquid AI models, turning Eney into a local assistant and giving Liquid AI a mainstream distribution channel.
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