A private, on-device AI app for Apple devices that runs open-weight language models and image models locally — no accounts, no subscription, and no internet required once a model is downloaded.
Last verified · 2026-07-20 · by Moe Ameen
Nativ is an on-device AI assistant for Apple hardware, built by the independent developer Solobuilt. Its whole premise is that the model runs on your device instead of in the cloud: you download a compact open-weight model once, and after that you can chat, draft, and generate images with no account, no subscription meter, and no internet connection. Nothing you type leaves the device. First released in late 2025, it has iterated quickly — on-device image generation arrived in the 1.5 update, and it now ships as a v1.x app.
Under the hood Nativ leans on Apple's on-device stack. Apple Intelligence is the default engine on supported hardware, and you can browse and download additional open-weight models to run locally — the app has shipped support for models in the Gemma, Llama, and Qwen families (for example a small Gemma 3 model), plus Stable Diffusion for images. These are compact, quantized models sized to run on a phone or tablet, so be honest with yourself about scale: they are not the frontier-class cloud models, and a 1B–8B local model won't match GPT-class reasoning or a hosted image model's fidelity. What you get instead is speed, privacy, and offline availability.
Nativ is designed for iPhone (iPhone 15 Pro and newer) and M-series iPads with Apple Intelligence support. Because it's a "Designed for iPad" app, it also installs and runs on Apple Silicon Macs, though the developer notes it isn't formally verified for macOS. It's sold as an inexpensive one-time app rather than a subscription — there are no monthly fees, no logins, and no data collection, which is the entire pitch. Beyond plain chat it adds voice mode, PDF chat with on-device retrieval (RAG), web search when you opt into it, and a local model manager.
The honest framing: Nativ is a genuinely private, genuinely offline pocket assistant — excellent for drafting, brainstorming, summarizing a document, or roughing out an image on a plane or in a place with no signal. It is a single-device thinking-and-drafting tool, not a content-production or publishing system. It writes and sketches; it doesn't caption, reframe, brand, schedule, or publish anything.
Think of Nativ as the private front-end where the raw idea is born, and Kompozy as the studio that turns it into a finished, published week. The two fit together cleanly because they solve opposite halves of the problem. On a flight or in a dead-zone, you draft in Nativ — a hook, a caption angle, a rough blog outline, a first pass at a script — with none of it touching the cloud. The moment you're back online, that draft is just text, and text is exactly what Kompozy is built to finish and multiply.
Paste a Nativ draft into Kompozy and it stops being a single note. Kompozy governs it with your Persona Brief and banned-word filter so it lands in your actual brand voice, then generates the finished formats a local pocket model can't: a Persona Short or HeyGen avatar video with a face-locked recurring identity, a brand-exact Carousel via HyperFrames, Photo Posts and Quote Graphics, a full Blog Article, and an Email Newsletter — one idea fanned into 25–35 platform-native pieces, each reframed to 9:16, 1:1, and 16:9. Then Autopilot and a per-post review pipeline schedule and publish the set across Instagram, TikTok, YouTube, LinkedIn, Facebook, X, Pinterest, and Threads, plus blog and Mailchimp, from one queue. Nativ keeps the ideation private and offline; Kompozy does the production and distribution Nativ never attempts.
Nativ is an on-device AI app for Apple hardware (iPhone 15 Pro and newer, M-series iPads, and Apple Silicon Macs via the iPad app) from the developer Solobuilt. Its difference is that models run locally: once you download a model, you can chat, draft, and generate images with no account, no subscription, and no internet — nothing you type leaves the device. It defaults to Apple Intelligence and lets you download open-weight models like Gemma, Llama, and Qwen.
Not in the cloud-frontier sense. Nativ runs compact, quantized open-weight models sized to fit on a phone or tablet — small Gemma, Llama, and Qwen variants plus Stable Diffusion for images. They're fast and completely private, but a 1B–8B local model won't match a hosted frontier model's reasoning or a cloud image model's fidelity. The trade-off is privacy and offline availability, not raw capability.
No. Nativ is a private drafting and chat assistant — it writes text, answers questions over your PDFs, and generates concept images locally. It has no captioning, reframing, brand-voice governance, avatar video, scheduling, or publishing. For turning a draft into finished multi-format posts and shipping them across platforms, that's where a content engine like Kompozy takes over.
Nativ is the private, offline place to draft the idea; Kompozy is where it becomes published content. You rough out a caption, hook, or outline in Nativ with no connection, then paste it into Kompozy, which rewrites it in your brand voice and generates the finished formats — avatar video, carousels, images, blog, newsletter — before scheduling and publishing them across nine platforms.
Nativ is sold as an inexpensive one-time app rather than a subscription — no monthly fees, no logins, and no data collection. Once you own it and download a model, the local generation is unmetered because it runs on your own hardware. Verify the current price on its App Store listing, as app pricing can change.