- Founded
- 2026
- Employees
- 3
About KelAI
KelAI is an AI research engine for hedge funds and institutional investors. It captures the full investment research process in one platform and runs it autonomously from idea generation to data analysis, backtesting, validation, monitoring, and feedback. KelAI is built by Jeremie Cohen, a former systematic equity PM at WorldQuant with deep machine learning experience, after years inside institutional quant research. Hedge fund research is constrained by human throughput and lost context. Teams can only explore so many ideas, and much of what they learn gets scattered across siloed systems. KelAI unifies the research loop into one continuous workflow, empowering institutional investors with an AI research team they can scale on demand, while capturing the full context so every cycle improves the next one.