AI Tool Blanket Bridges Small Business Risk and Event Markets

Developed by fintech entrepreneur Lauris Zminsky, Blanket functions as an advisory layer rather than a trading engine. The system analyzes a company’s specific operational vulnerabilities and suggests corresponding contracts traded on Kalshi, a platform designated by the Commodity Futures Trading Commission. By matching business risks with event-based derivatives, the tool aims to democratize hedging strategies previously reserved for firms with dedicated risk management departments.

While Blanket identifies relevant market positions, it maintains a strict boundary with the exchange itself. The software does not execute trades, manage customer accounts, or handle funds. Business owners must independently verify recommendations and process transactions directly through Kalshi’s infrastructure. This separation highlights a shift in the prediction market landscape, as platforms like Kalshi move beyond retail speculation toward institutional-grade risk management. The integration coincides with Kalshi’s efforts to bolster market surveillance, a priority underscored by recent CFTC enforcement actions regarding the misuse of prediction markets by public figures.