Skyark — Infrastructure for AI

Control plane

One permission system for everything AI touches.

Skyark sits between your models, agents, and tools and the rest of your stack — every action passes through it, so you decide what's allowed before it happens, not after.

Define permissions once

Write policies in plain rules: who can call what, with which data, under what limits. They apply everywhere automatically — no per-model wiring.

Every request is checked

Each model call, tool use, and agent step is evaluated against your rules in real time. Allowed actions pass through; anything out of scope is blocked before it runs.

Grant, scope, and revoke instantly

Tighten or widen access from one place and it takes effect immediately across your whole environment — with a full record of who did what.

One structure, every dimension connected — a single control point for the whole system.

Built for the failure modes that actually matter:

Agent actionsStop an autonomous agent before it touches a system, sends a message, or spends money it shouldn't.
Uncontrolled RLBound what a learning loop can explore, so reward-seeking never drifts into unsafe or off-policy behavior.
Data mismatchBlock calls where the inputs don't fit the model's intended domain, before bad outputs propagate downstream.
ContaminationKeep training, eval, and production data in their lanes — no leakage across boundaries you've defined.
Tool & API scopeWhitelist exactly which tools and endpoints each model or agent may reach, and nothing else.
Data accessGate which datasets, secrets, and records a request can read or write, down to the field.
Spend & rate limitsCap tokens, calls, and cost per actor so a runaway process can't burn the budget.
Audit & rollbackEvery decision is logged and reversible, so you can trace what happened and undo it fast.

Build

From zero to an endpoint in four lines.

One SDK, every model

Swap providers without rewriting a line of application code.

Typed responses

Structured output validated before it ever reaches your app.

Built-in caching

Identical requests return instantly and never hit the meter twice.

import { Skyark } from "skyark"

const ark = new Skyark()

const res = await ark.run({
  model: "sky-large",
  input: "Summarize Q3 in one line.",
  cache: true,
})

// → routed, traced, billed per token
console.log(res.output)

Take control of your environment.