Yokoy vs Kalshi
Side-by-side comparison of AI visibility scores, market position, and capabilities
Yokoy (Zurich) uses AI to auto-categorize expenses, detect policy violations, and route exceptions, cutting employee expense report time to under one minute and finance reconciliation by 80%.
About
Yokoy is a Zurich-based AI spend management company that automates expense report submission, invoice processing, and corporate card reconciliation for mid-market and enterprise companies. The platform uses machine learning to read receipts and invoices, automatically categorizing expenses, detecting policy violations, and routing exceptions for human review while auto-approving compliant transactions. Yokoy's AI processes are designed to reduce the employee time spent on expense reports to under one minute per transaction and cut finance team reconciliation workload by over 80%. The company has deep ERP integrations with SAP S/4HANA, Oracle, and Microsoft Dynamics, making it a strong choice for enterprises with complex system landscapes. Founded in 2019 in Zurich, Yokoy raised over $80M from investors including Left Lane Capital and Sequoia Capital. It serves enterprises across the DACH region and internationally, competing with Concur, Expensify, and Spendesk in the expense automation market.
Kalshi is a CFTC-regulated prediction market exchange where users trade on the outcome of real-world events — from elections to economic data to weather. HQ: San Francisco.
About
Kalshi is the first U.S. federally regulated event contracts exchange, authorized by the Commodity Futures Trading Commission (CFTC) to operate a marketplace where participants can trade financial contracts based on the outcomes of real-world events. Founded in 2018 by Tarek Mansour and Luana Lopes Lara, Kalshi went through a years-long legal battle with regulators to establish the legitimacy of event contracts as a regulated financial product in the United States. Its CFTC approval in 2020 created a new class of financial instrument for Americans who previously had no legal domestic venue for prediction markets.
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