Run your product's AI features on machines you already own
Cloud infrastructure for your code and agents
Stage
Not given
Startup
Founded
Not given
2024
Based in
IL
US
Pricing model
Not given
Freemium
Pricing
Not given
Starter: Free with $100 in credits; Team: $200/mo (annual) or $250/mo (monthly) with $100/mo credits. Usage-based rates: Code Reviews $1.00 per review, x64 Runners $0.002 per vCPU/minute, macOS Runners $0.020 per vCPU/minute, Sandbox vCPU $0.000014 per second, Sandbox Memory $0.0000045 per GiB/secon
Key features
OpenAI-compatible API
Zero data retention
Automatic idle detection and workload routing
MDM-based agent installation
Cloud fallback with transparent logging
Support for Macs, Windows and Linux
Memory and speed estimation for models
Optional on-premises deployment
Data routing controls for sensitive workloads
Instant sandboxes that boot in under one second
GitHub Actions runners for x64 and macOS
AI-powered code review on every pull request
Support for Go, TypeScript, and Python SDKs
Git operations including clone, checkout, and diff
Persistent volumes and snapshots
Outbound domain and CIDR allowlists
Pre-built container images
OpenCode integration for AI workflows
Configurable CPU and memory options
What makes it different
Costs stay flat as you grow because you pay for electricity instead of per-token cloud fees
Only uses idle time, stepping back immediately when users return
Code stays the same - just change the API base URL and key
Works with hardware you already own without buying new equipment
No data storage of prompts or responses
Bare-metal infrastructure for 30% faster performance and up to 60% cheaper than alternatives
Sandboxes boot in under one second, enabling instant isolation for AI agents
AI code review that reads your full codebase and reviews every PR
Drop-in GitHub Actions replacement requiring no configuration changes
Infrastructure built specifically for AI agents to write, run, and ship code
kibbu
Tenki