The synthetic data industry tried to solve this, but their approach fell short. Traditional synthetic data generation creates isolated artifacts, a contract here, an email there, with no connection between them. This approach doesn’t work for testing AI tools that use context to find the stories hidden in the data. Synthetic data generation also typically requires a seed set of customer’s private data as a starting point.

When an executive sends an email about a merger, that decision ripples through meeting minutes, contract negotiations, compliance reports, and Slack conversations. When a clinical trial participant reports a side effect, it appears in physicians’ notes, lab reports, and adverse event filings. This web of connections is what makes business data valuable for testing AI, and it's exactly what traditional synthetic data can't replicate. of a div block.