Corporate operating history is becoming an AI asset class.

Mike Ye · author and editor

Mike Ye leads the editorial review of Strategic Signal. His work focuses on M&A, corporate development, and strategic finance. View Mike’s professional background and M&A resources.

How the record is built

AI supports discovery, evidence collection, classification, and draft analysis. A human reviewer approves the exact record and evidence revision before it enters the approved dataset. Editorial approval does not verify undisclosed contract terms; these remain unknown or not disclosed.

Every observation identifies its sources, rights and access boundaries, economics scope, and review status. Scores and valuation implications are Strategic Signal analysis. They are distinct from company disclosures and measured model performance.

Legacy observations awaiting this approval are visibly provisional, carry no published scores, and are excluded from approved market measures.

From transactions to an outlook

The deal register is the evidence base for a monthly Strategic Signal outlook on AI-data and workflow licensing: industry demand, pricing evidence, likely next sectors, and M&A implications. Observed transactions and forward-looking analysis remain separate.

Each outlook will identify its dataset cutoff and supporting records. Forward calls will state their assumptions, horizon, confidence, and what would confirm or contradict them. Subsequent issues will revisit those calls. Bundled programs do not establish standalone dataset valuations.

Accountability over time

Stable transaction IDs and canonical pages identify observations. Versioned snapshots preserve what was published, while the correction history records material revisions. The scoring methodology is versioned separately from the dataset.