Probabilistic cascade failure simulation for AI compute infrastructure. Upload your topology, run 1,000 scenarios, get a risk report in 30 seconds.
Every existing tool makes you choose between affordability and accuracy. None of them were built for GPU-dense AI infrastructure.
Rated capacities, no failure probability, no cascade modeling. One engineer's gut feel between you and a $1M/hr outage.
$10–20K per seat. Requires a licensed PE. Months of onboarding. Designed for utilities, not GPU clusters.
Deterministic toggles. Toggle a PDU off, see what goes dark. No probability distribution. No cascade. No stochastic scenario modeling.
From topology upload to risk report in under 30 seconds.
JSON, CSV, or one-line diagram. Automatic normalization handles variant formats.
1,000+ stochastic scenarios. Compound load growth, redundancy group redistribution, per-component failure probabilities.
Cascade probability, SPOF list, headroom scores, vulnerability warnings. Export as PDF.
Built for every stage of AI infrastructure planning.
Catch SPOF and overload risks before infrastructure is built.
Compare N+1 vs 2N topologies with probability distributions, not assumptions.
Inject specific component failures and trace cascade propagation paths.
Model training bursts, inference variability, power capping — not just static kW baselines.
Diff two topology designs side by side: which PDU upgrade gives the most resilience per dollar?
Attach CapEx costs to redundancy changes. Output: probability × expected downtime cost vs. remediation cost. CFO-legible.
Shareable deliverable for contractors, MEP consultants, and leadership. Turns a browser session into a billable artifact.
Import from AutoCAD, Revit, or CSV. No hand-written JSON.
The only tool purpose-built for probabilistic AI infrastructure risk.
| Feature | Loadstone | ETAP | DCIM Tools | Spreadsheets |
|---|---|---|---|---|
| Probabilistic (Monte Carlo) | ✓ | partial | ✗ | ✗ |
| Purpose-built for GPU clusters | ✓ | ✗ | ✗ | ✗ |
| Result in < 30 seconds | ✓ | ✗ | ✓ | ✓ |
| No PE license required | ✓ | ✗ | ✓ | ✓ |
| Cascade failure simulation | ✓ | ✓ | ✗ | ✗ |
| GPU load profiles | ✓ | ✗ | ✗ | ✗ |
| PDF report export | ✓ | ✓ | partial | ✗ |
| Pricing | Contact us | $10K+/seat | $20K+/yr | Free |
Built for the people responsible when AI infrastructure fails.
CoreWeave, Lambda, xAI-scale buildouts
Making $50–200M capex decisions. A bad topology is permanent. Know the risk profile before concrete is poured.
AI-optimized pods with higher density SLAs
Designing AI-optimized pods with higher density SLAs than traditional enterprise. Every watt of headroom is revenue.
Engineering firms and infrastructure consultants
Replace 2 days of manual reliability analysis with a 30-minute workflow. Turn it into a client deliverable.