Nuity AI runs your backend on Magic Cloudlets — self-hosted, MIT-licensed compute where AI-generated logic is checked at the execution boundary, not taken on faith at the prompt. Lower build cost, fewer defects, no free-form code running in production.
Most AI code generators hand you a file and hope. The model writes source code, your CI trusts it, and the first real test of what it's capable of happens in production — against your database, your customers, and your uptime.
Every generated feature still needs a human review pass before anyone trusts it near production data — the "AI wrote it in 10 seconds" pitch quietly becomes a week of code review.
Hallucinated logic looks correct at a glance. Without a runtime that rejects invalid structure outright, bugs surface as incidents instead of failed compilations.
Free-form generated code can call anything the host language can call. One over-privileged agent, one prompt injection, and the blast radius is your whole server.
Magic Cloudlets run on Hyperlambda, a runtime that compiles natural-language instructions into a strict execution tree instead of free-form source code. Every node in that tree is checked against a whitelist of capabilities before anything runs.
Nothing about that check depends on the model behaving. A hallucinated or maliciously injected instruction doesn't get "mostly right" and slip through — it fails to bind, and the cloudlet simply refuses to run it.
Backend CRUD, integrations, and internal tools get generated and validated in one pass. Self-hosting on your own infrastructure also removes per-seat platform tax entirely.
Structurally invalid or unauthorized instructions fail at compile-and-bind time, before they touch a database or a customer. Defects show up as build errors, not incidents.
Access control is checked at the execution layer itself, per function, per role — not bolted on as a generated middleware layer that a bad generation can bypass.
Run your cloudlet on our infrastructure, your cloud, or fully air-gapped on-prem. The runtime underneath is open source — audit it, self-host it, or have us operate it for you.
Creator of Hyperlambda and Magic Cloud. Years building the runtime and RBAC model that Nuity AI's cloudlets run on in production today.
Co-founder of Nuity AI, building the go-to-market for Magic Cloudlets with enterprise engineering leaders.
20 minutes. We'll walk through the validation boundary against your own use case and tell you plainly whether a cloudlet fits.