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AI Diligence // AI infrastructure & specialty industrials
# You're paying an AI multiple. We tell you if the AI demand is real.
Cooling, power, thermal management, electrical, data-center fit-out. These businesses now command the richest valuations in the market — on the assumption the AI capex keeps coming. So the diligence question inverts: not is their AI real? but is the demand you're underwriting durable — and what is this worth if the capex pauses?
 Book a scoping call → What typically breaks ↓
 The confirmatory assessment — the actual product, not a mockup.
 01 // The four surfaces
## Four surfaces, read for this sector.
The method doesn't change. What changes is where the risk concentrates — and in ai infrastructure & specialty industrials, it concentrates hard.
 Operational — why it matters
The plant still has to run — but in this sector operational AI is the smallest risk on the page . The risk is the demand curve.
 Product — why it matters
The question that decides the multiple: is this genuinely specified into AI builds, or a commodity repriced for sitting next to one?
 Market — why it matters
Customer concentration is the whole game. Three procurement teams deciding to pause isn't a market correction — it's your revenue.
 Financial — why it matters
Ask the uncomfortable question out loud: how much of this enterprise value is AI narrative , and what is the multiple without it?
 02 // The failure modes
## What typically breaks in ai infrastructure & specialty industrials.
These are the findings we look for first — ranked by how often they turn up, and what they hit when they do.
 Frequency reflects what we look for and how often it surfaces in this sector — not a published benchmark. Sector baselines are built from completed engagements and released only when the sample supports them.
 03 // One finding, priced
## A finding is only real when it has a number.
 The finding Value at risk What it becomes
 62% of revenue from two hyperscaler customers, with no binding multi-year capacity commitment $8.4M Earnout tied to backlog conversion · revised hold thesis
 Why it matters The multiple assumes a demand curve that three procurement teams control
 Illustrative finding · representative of this sector, not a specific client engagement.
 04 // How you buy it
## Screen fast. Then go deep.
 Pre-LOI
### Flash Screen
A go/no-go read before the diligence budget commits.
 ≈ 10 SME hours included
- Composite score and red-flag triggers
- Sector failure modes checked first
- Screen memo: proceed, price, or pass
 Confirmatory
### Full Assessment
The IC-defensible read, sized to your window.
 ≈ 70 SME hours included
- All eight weighted domains, evidence-linked
- Management and technical interviews
- Findings → terms working session
- IC readout and 100-day plan input
 Sector Healthcare services → Sector Software / SaaS → Sector Insurance & financial services → Sector Industrials & distribution → Sector Business & professional services → Sector AI infrastructure & specialty industrials → Sector Payments & fintech →
## Don't sign for AI you haven't seen.
Bring us the target. We'll score the AI behind it — with the ai infrastructure & specialty industrials failure modes checked first — and hand your deal team the price, the terms, or the walk.
 Book a scoping call →
