Embeddable cost model for AI and HPC data centre builds licensed per domain
Monitor and control AI/LLM API costs across OpenAI, Anthropic, Gemini and other providers
Stage
Not given
MVP
Founded
Not given
Not given
Based in
CA
IN
Pricing model
Paid
Free trial
Pricing
Standard $4,000 CAD per domain per year (three lease-model configurations, brand theming, clipboard export); Pro $10,000 CAD per domain per year (all seven configurations, CSV export, full white-label theming, lead capture, priority support); Enterprise quoted on application (multi-domain, custom co
Free during beta
Key features
Seven build configurations from hyperscale AI factories to Bitcoin-mine retrofits
Coverage of nine Canadian provinces and all 50 US states plus DC
Capital cost breakdown by line item including shell, electrical, cooling, network and land
Annual energy cost calculation with state consumption taxes included
Revenue modelling by commercial structure and simple payback calculation
Live USD/CAD exchange rates with Bank of Canada data
Support for 13 NVIDIA and AMD accelerator classes from H100 through latest models
State and provincial interconnection queue and build timeline estimates
White-label theming to customer brand colours and name
CSV export for client deliverables on Pro tier
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
What makes it different
Automatically updated cost constants and tariff data without customer redployment
Enterprise tier allows customization to customer's own build costs and regional data
Planning-grade outputs suitable for early site screening and client proposals
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