Monitor and control AI/LLM API costs across OpenAI, Anthropic, Gemini and other providers
Cloud infrastructure for your code and agents
Stage
MVP
Startup
Founded
Not given
2024
Based in
IN
US
Pricing model
Free trial
Freemium
Pricing
Free during beta
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
AI API cost intelligence across 13+ providers
Burn forecasting under different growth scenarios
Guardrails that alert, slow down or block features when budgets are exceeded
Agent usage monitoring
Per-feature cost breakdown
Cost modeling under stress conditions
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
Forecasting-first approach with probabilistic cost modeling, not just historical tracking
Guardrails that automatically enforce budget controls before costs spiral
Privacy-preserving: stores only usage metrics, never prompts or user data
Probabilistic risk modeling designed for AI-native startups
Fail-open SDK so AI calls continue even if AtlasBurn is unavailable
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
AtlasBurn
Tenki