Monitor and control AI/LLM API costs across OpenAI, Anthropic, Gemini and other providers
Secure microVM sandboxes for AI agents
Stage
MVP
Not given
Founded
Not given
Not given
Based in
IN
Not given
Pricing model
Free trial
Freemium
Pricing
Free during beta
Free plan: $0/month with $25 included usage and up to 5 running sandboxes. Starter: $20/month with $20 monthly usage and 20 running sandboxes. Pro: $99/month with $110 monthly usage and 100 running sandboxes. Scale: $399/month with $450 monthly usage and 500 running sandboxes. Usage metered at $0.01
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
E2B SDK compatible API gateway
Multiple sandbox sizes (Small, Medium, Large, XL with 1-8 vCPU and 2-16 GiB)
Live terminal and desktop viewing
SSH access with VS Code Remote support
Pause and resume with memory intact
Long-running sandboxes on Pro and Scale plans
Credential vault for secrets management
Egress control with allow and deny lists
Custom Docker images via Dockerfile
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
Direct E2B SDK compatibility without code rewriting
Usage-based billing with included credits, no overages on paused sandboxes