Hedge funds and institutional traders could soon have an AI-native engine continuously finding and validating trading signals, thanks to KelAI, which has just raised $15.0M.
Founded by former systematic portfolio manager Jeremie Cohen, the startup is tackling the siloed systems and inefficient workflows that still characterize much of investment research, despite the abundance of data and tools available to investment teams. KelAI aims to transform this fragmented process into a compounding, AI-native engine that continuously finds, tests, and validates trading signals at a pace no human team can match.
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