On-demand cloud macOS for AI agents, billed per minute
AI model of your product's business logic accessible to people and AI agents
Stage
Startup
Not given
Founded
2026
Not given
Based in
Not given
GB
Pricing model
Paid
Freemium
Pricing
$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.
Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
Key features
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
Builds features, rules and customer paths and keeps them current with every push
Shows what each commit changed in the business logic, not only in the code
Provides change impact analysis before merge showing what could break
Checks PRDs and specifications against the product
Delivers understanding to AI agents over MCP
Runs locally on your machine with GMM Local
Finds risky patterns and problems in the product
Enterprise deployment inside your security boundary
Integrates with Claude Code, Cursor, Codex and VS Code
MCP access for agents with 1-10 credits per answer
What makes it different
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
Nearly 3× fewer errors on Benchmark 001 compared to alternatives
8.4K tokens per question instead of 27.4K for competitors
Results published and measurable; method is proprietary
Reduces AI cost per completed agent action from $0.35 to $0.08