CommitCheck — AI Compute Commitment Stress-Tester
A tool that ingests an AI startup's neocloud contract and simulates what happens if the provider cuts capacity, raises prices, or goes bankrupt, so leadership and boards can stress-test their compute strategy before the next financing round.
AI startup boards, finance leaders, and Series B+ investors
- Contract clause analyzer that flags termination terms, capacity guarantees, and force majeure language
- Stress scenarios including provider bankruptcy, Nvidia divestment, and a 2x price increase
- Side-by-side comparison versus alternative providers across AWS, GCP, Azure, and smaller neoclouds
- Board-ready one-pager export showing worst-case and base-case outcomes
AI compute commitments of $10B-100B+ are being signed by startups with thin balance sheets; the Kindig analysis shows the systemic risk is poorly understood outside a handful of specialists, and boards are starting to ask.
Real but emerging concern: CIO.com frames neoclouds as a 'vendor trap,' computeforecast.com notes Series B+ AI startups are now seeking 2MW+ compute allocations creating 'entirely different risk profile,' and $122B in long-term commitments plus 27% interest/revenue ratios at CoreWeave are driving board-level attention.The neocloud vendor trap: New infrastructure, same old risk ↗Why Speculative 'Neocloud' Capacity Is Distorting Data Center Valuations ↗
Direct competition already exists: aicost.ai ships a Vendor Concentration Risk tool (HHI-based, 'run it before signing a multi-year commit'), and Cloud Security Alliance, TS Imagine, and AI Governance Inc. all publish vendor concentration risk assessments, leaving limited blue ocean.Score AI Vendor Concentration Risk with HHI Analysis - aicost.ai ↗AI Provider Concentration Risk: Enterprise Resilience (CSA) ↗A Risk Manager's Guide to AI Concentration Risk - TS Imagine ↗
Proven willingness to pay exists in adjacent procurement tooling (aicost.ai monetizes via subscription + 'Book a call' consulting and has 75 persona pages live), but the addressable market is narrow — only Series B+ AI startups with multi-million-dollar neocloud contracts, making TAM-limited despite high per-deal value.Score AI Vendor Concentration Risk with HHI Analysis - aicost.ai ↗NACD Artificial Intelligence Governance Resources ↗
Commitments are growing materially ($122B hyperscaler contracts, $100B CoreWeave backlog, 2MW+ minimums for Series B startups), and circular financing fragility is a multi-year structural concern — but the Big 4 advisory firms (McKinsey already publishing on neoclouds) could commoditize this into standard diligence offerings within 2-3 years.GPU Cloud Firms Land $122B Deals - SaaS News ↗Neoclouds' challenges and next moves - McKinsey ↗
Hard to build defensibly: requires proprietary datasets on neocloud contract terms (termination clauses, price escalators, capacity guarantees across CoreWeave/Nebius/Crusoe/Lambda/Fluidstack), financial bankruptcy-scenario modeling, and likely legal-NLP for contract parsing — non-trivial engineering with no obvious off-the-shelf data source.AI Compute and Neocloud Providers 2026: Vendor Comparison ↗