One Account for Private Local LLMs and AI Code Review

Nionto is the umbrella I build the local-LLM and vibe-coding tools under. The framing is a coordination stack: one Nionto account gives you every product instead of a separate login and billing relationship per tool. The pitch is running AI privately on hardware you control, and reviewing, debugging, testing, and securing the software that AI-assisted coding produces. It lives at nionto.ai.

Two products, one account

Two things run under that account today. Mayhem Monkeys is live and selling now at $49/mo. It is AI-powered engineering review for vibe-coded apps: point it at a live URL or connect a repo, specialist hunters probe for smoke, auth, injection, logic, and performance issues, and you get back prioritized findings with severity, evidence, a repro, and prompts to fix each problem.

ModelCoor Lite is the second product, in early access across Mac, Windows, Linux, iOS, and Android. It comes in Free, Pro at $9/mo, and Studio at $29/mo. Both products share the single account, so the same identity that reviews your code also runs your models.

Using the hardware you already own

The engineering idea I find most worth stating plainly is ModelCoor Lite's premise: it turns the computers you already own into a private LLM fleet, with no new hardware. Most "run AI locally" pitches quietly assume you go buy a GPU box first. This one assumes the opposite. The laptops, desktops, and phones already sitting around your home or office are the fleet, and the coordination layer is what makes a pile of mismatched devices behave like one private inference resource.

That is why Nionto is described as coordination that compounds. Each product is useful alone, but the account, the review tooling, and the local-model fleet are meant to reinforce each other. Vibe coding gets software built fast, and the same stack that runs your models privately also checks that fast-built software before your users find the failures.