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Enterprise Layer Intelligence
Categories/AI Analytics/Kel AI
Kel AI

Kel AI

Founded by Jeremie Cohen in 2025

Research market data, test investment theses, and backtest trading strategies autonomously

Pricing model

Demo

Rating

★ Mixed Reviews

Time to value

Requires Expertise

You can use KelAI to conduct institutional investment research and discover alpha across public financial markets. The system provides autonomous agents that investigate market questions, analyze complex financial datasets, and run rigorous backtests on trading theses. You can interact with agents conversationally to draft structured research reports or deploy coordinated agent teams to evaluate data around the clock. It connects directly with your proprietary data and internal tools, letting you test hypotheses against historical records before making critical capital allocation decisions.

What Kel AI does

Run backtests on investment hypothesesGenerate structured investment research reportsAnalyze public market financial datasetsConnect proprietary internal data sourcesMonitor market datasets continuously with autonomous agentsReview audit trails for automated research workflowsConversational research agents for financial idea investigationAutonomous multi-agent workflows for continuous researchHistorical data backtesting to validate investment thesesIntegration options with internal proprietary datasets and toolingDocumented research output with full evidence trailsModel-agnostic architecture tailored for financial analysisOn-premises deployment options with isolated workspacesAudit logs tracking user and agent activities

Pricing breakdown

Pricing model: Book a demo

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KelAI, financial research, alpha discovery, backtesting, hedge funds, institutional investing, autonomous agents, financial data analysis, thesis validation, quantitative analysis, public markets, market research, automated backtesting, financial intelligence