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KelAI

The AI Alpha Engine

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KelAI is an AI research system for public-market investors, including hedge funds and institutional investment teams. It is designed to help teams investigate ideas, test theses against historical data, and validate evidence before making investment decisions, moving from a question to a structured analysis with an evidence trail.

The system is model-agnostic and applies frontier AI models to financial research. It offers three deployment modes: a conversational agent for investigating ideas, analyzing data, running backtests, and producing documented research; autonomous coordinated agent teams for continuous research workflows; and bespoke integration with proprietary data, internal tools, and existing research workflows. The architecture spans financial intelligence, research orchestration, data and integrations, validation and evidence, product interfaces, and security and governance. Security features include SOC 2 alignment with AICPA Trust Services Criteria, isolated workspaces, controlled model access, on-premises deployment, and activity logs across users, agents, and systems.

KelAI is aimed at investment teams that need research capacity across multiple datasets and alpha types in parallel. The pages describe booking a demo as the route to engagement; no pricing, plan, or trial details are stated.

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