Embeddable cost model for AI and HPC data centre builds licensed per domain
Everything has an algorithm
Stage
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Founded
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Based in
CA
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Pricing model
Paid
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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
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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
Constant-state attention: models serve any context length from the same memory per request
HCGM: models run from disk storage instead of memory
M-Rail: context processed by a model can be reused instantly in future requests
CPUDA/sGPU: run unmodified CUDA programs on CPUs with bit-identical results
Organ grafting: transfer capabilities between models without training
Personal instruction set (ISA) compiled on device from phone signals
Population ISA: compile laws from many people without personal records
Digital twins of customers, fleets, cities or markets
Results identical across all machines and architectures
Computation cost follows novelty not data size
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
Constant memory cost regardless of context length or data size
Exact reuse: every computed result is kept and reused instantly
Portable execution with bit-identical results across all hardware
Models run from storage without retraining or fitting in memory
Privacy-preserving: raw data never leaves the device
AI Build Configurator
Wirkung