FutureSearch is an AI-driven research platform designed to enhance data analysis and forecasting capabilities for professionals across various industries. By leveraging advanced machine learning models, FutureSearch automates complex research tasks, enabling users to obtain reliable answers at spreadsheet scale. Its suite of tools, including Cohort and Stockfisher, empowers users to enrich datasets, generate deep forecasts, and make informed decisions efficiently. Key Features and Functionality: - Cohort: This tool allows users to generate or upload datasets and enrich them by adding new, reliable data to every row. Cohort can research hundreds of entries simultaneously, streamlining the data augmentation process. - Stockfisher: Designed for value investors, Stockfisher provides deep forecasts of every public stock. It offers cash flow models based on thoroughly researched revenue, earnings, and payout forecasts, enabling users to identify stocks with the highest expected returns. - Deep Research Bench: FutureSearch evaluates the performance of large language models (LLMs) on real-world research tasks through the Deep Research Bench. This benchmark assesses how well LLM agents perform web-based research, providing insights into their capabilities and limitations. Primary Value and Problem Solved: FutureSearch addresses the challenge of conducting accurate and efficient research on complex, judgment-laden questions. By automating data enrichment and forecasting processes, it reduces the time and effort required for in-depth analysis. This enables professionals to make more accurate decisions based on comprehensive and reliable data, ultimately enhancing productivity and strategic planning.