Build an AI Infrastructure Financing Analytics Product

1. 1

   Define the questions you answer, and the ones you refuse

   Your product answers structural questions: who has invested in whom, who guarantees whose compute, how vendor financing links a chipmaker to its customers' purchases. It does not tell anyone whether a stock is a buy. Decide this boundary first, because it shapes every later choice and keeps you out of investment-advice territory.

2. 2

   Source only from defensible public records

   Build the dataset from primary public sources: regulatory filings, official disclosures, on-the-record announcements, and terms parties have themselves published. Cite every relationship to its source. You are publishing claims about real, named companies, so provenance is not a nicety, it is your legal shield and your credibility.

3. 3

   Get legal review before you publish about real companies

   A product that maps financing relationships between named companies carries real defamation and accuracy risk. Have a lawyer review your sourcing standards, your language (state facts and cite them, avoid characterizations you cannot support), your correction process, and your terms of use before anything goes live. This step is the business, not an afterthought.

4. 4

   Build the map and the evidence trail together

   Visualize the web of relationships so an analyst sees the structure at a glance, but make every edge click through to its source. The value is not a pretty graph, it is a rigorously sourced one that a skeptical professional can verify claim by claim.

5. 5

   Carry a plain not-financial-advice posture

   State clearly and repeatedly that the product is information and analysis, not investment advice or a recommendation. Sell understanding of structure and disclosure, not calls. This protects you and is also what your serious buyers actually want: neutral, verifiable data they can reason from themselves.

6. 6

   Sell to institutions, desks, and newsrooms

   Your buyers are institutional investors, research and diligence desks, and journalists who need to independently assess AI demand. Price as a professional data subscription with tiers for depth, update frequency, and export, and let a rigorous free sample do the selling in a market that prizes trust.

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