Agent layer for SaaS with grounded answers, sandboxed tools, and per-customer isolation
On-demand cloud macOS for AI agents, billed per minute
Stage
Not given
Startup
Founded
Not given
2026
Based in
Not given
Not given
Pricing model
Free
Paid
Pricing
Free during launch period. Customers pay their LLM provider directly for model usage at provider rates; Oberik does not markup or resell tokens. No credit card required, no usage meters tracked by Oberik itself.
$0.90 per hour, billed per minute. Prepaid credit starts at $10, never expires and needs no subscription. Bigger top-ups add up to 20% bonus credit: $100 buys 133 hours. 7-day money-back guarantee on first purchase.
Key features
Document-grounded answers with page and quote citations
Linux sandbox environment for agent execution
Per-customer cost tracking and billing
Memory and wiki persistence across sessions
Scheduled and recurring work with durability
Capability-scoped JWT tokens enforced per-request
Support for custom tools and MCP servers
Multi-model support with bring-your-own-keys
Server-side prompt injection and PII screening
SSH dashboard interface for programmatic configuration
Real macOS on Apple M6 or M5 Pro silicon, ready in about a minute
Full admin access with no password prompts
Xcode 27 preinstalled with Homebrew, Node, Python and CocoaPods
iOS Simulator with screenshots and screen recordings
Persistent 20 GB encrypted drive between sessions
Control via MCP, CLI, API or SSH
App Store submissions and TestFlight uploads
Secrets management without chat exposure
Desktop view and control in browser
What makes it different
Hard isolation between customers with no shared state or tenant leakage
Citations with document, page and quote provided automatically with every answer
Only two API calls needed to integrate grounded AI into any SaaS product
Customers never charged by Oberik; direct billing from their own LLM provider keys
Agents work autonomously without human prompts or permission dialogs
Pay only for minutes used, not idle Mac time
Complete end-to-end app building and publishing from iOS Simulator to App Store
Built-in isolation and security with ephemeral sessions