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In AI systems built for regulated finance, the data licensing layer is the binding constraint: a model that cannot prove the provenance of every figure it surfaces will not clear compliance review at a bank or private equity firm.
Maywood, which describes itself as the first finance-compliant proactive AI for investment banking, private equity, and the broader financial services industry, moved on that constraint on July 8, 2026 by announcing a collaboration with S&P Global Market Intelligence to integrate that provider's data into its AI workflows.
The mechanism behind the data deal Finance AI tools live or die on what they can cite.
A system drawing on unlicensed or unverifiable data sources creates liability rather than value for institutional users, which is why data provenance sits near the top of the evaluation checklist at any bank or fund.
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