Evaluation
Independent technical evaluation for AI infrastructure, GPU cloud, and decentralised compute companies.
For investors, acquirers, datacentre operators, and enterprise buyers who need to validate technical claims before capital is committed.
Evaluation areas
What gets examined.
Fifteen evaluation dimensions covering architecture, economics, operations, and team.
01Architecture credibility
02GPU utilisation assumptions
03Networking and storage bottlenecks
04Scheduling model
05Security model
06Unit economics
07Cost-per-token claims
08Training or inference scalability
09Platform maturity
10Observability
11Failure modes
12Operational risk
13Team capability
14Vendor lock-in
15Roadmap feasibility
Deliverables
What you receive.
deliverable
Technical evaluation report
Written assessment covering architecture, scalability, security, operations, and team.
deliverable
Architecture risk register
Catalogued risks with severity, blast radius, and mitigation options.
deliverable
Infrastructure maturity score
Banded scoring across the stack: facility, hardware, fabric, orchestration, runtime, platform, applications.
deliverable
Questions for founders or vendors
Specific, technical follow-up questions to close gaps before commitment.
deliverable
Procurement / investment recommendation
Clear go / conditional / no-go recommendation with reasoning.
deliverable
Red flags & mitigation plan
Anything that should block, slow, or reprice the transaction.
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