---
title: "MacPaw partners with Liquid AI to offer on-device inference for its app store developers"
source: "TechCrunch：AI（RSS）"
source_tier: "t2"
url: "https://techcrunch.com/2026/08/05/macpaw-taps-liquid-ai-to-offer-on-device-inference-to-devs-building-for-its-app-store/"
permalink: "https://feed.astralor.com/items/itm_c2ae90aa7691bcd68a438480"
published: "2026-08-05T12:28:38.000Z"
score: 64
channel: "ai"
tags: ["Eney","Liquid AI","MacPaw","On-device Inference"]
---

# MacPaw partners with Liquid AI to offer on-device inference for its app store developers

## AI commentary

> This move is worth watching because on-device inference is becoming a key path for AI application adoption. For developers in MacPaw's ecosystem, it means lower AI integration costs and a stronger privacy pitch. That said, details remain thin, so keep an eye on follow-up announcements.

## At a glance

MacPaw is building a local version of its AI assistant Eney using Liquid AI models, offering on-device inference to developers building for its app store. This lets developers run AI models directly on user devices without relying on cloud APIs, reducing latency and improving data privacy. The move aligns with the growing trend of on-device AI and could make MacPaw's ecosystem more attractive to AI-native developers.

## Key points

- MacPaw uses Liquid AI models to build a local version of its AI assistant Eney
- Developers in MacPaw's app store ecosystem can leverage on-device inference, reducing cloud dependency
- On-device inference helps lower latency and strengthen user privacy

## Full text

MacPaw is building a local version of its AI assistant Eney using Liquid AI's models.

---

Verify against the original before citing; curated by Astral Feed: https://feed.astralor.com/items/itm_c2ae90aa7691bcd68a438480