MacPaw taps Liquid AI to offer on-device inference to devs building for its app store
Ukraine-based app developer MacPaw has partnered up 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. 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.
- ▪Ukraine-based app developer MacPaw has partnered up 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.
- ▪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
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Story provenance
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Record
| Original publisher | TechCrunch |
| Canonical URL | https://techcrunch.com/2026/08/05/macpaw-taps-liquid-ai-to-offer-on-device-inference-to-devs-building-for-its-app-store/ |
| Publication time | Wed, 05 Aug 2026 12:28:38 +0000 |
| Retrieval time | 2026-08-05T12:30:47.470Z |
| Last seen | 2026-08-05T12:30:47.470Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | QdOr493A4ijA · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Ukraine-based app developer MacPaw has partnered up 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. 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.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at TechCrunch.
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