Startup thesis: custom-trained classifiers for regulated industries could be an open lane
n_sri_laasya · x · 2026-09-23
A brief but pointed industry observation: inspired by the Jevons-paradox framing of AI efficiency, the author suggests training custom classifiers with bespoke data for regulated industries could be an underserved startup space — compliance, accuracy, and privacy requirements make general-purpose models hard to deploy there, leaving room for specialized small models.
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