Tezeract
Building an Unbiased World
Building an Unbiased World
Tambot is an AI-powered Excel plugin developed to automate the creation of Total Addressable Market (TAM) reports. By allowing users to input key details, the tool generates comprehensive reports while leveraging multi-agent LLMs and web scrapers for data collection and analysis. This innovation streamlines the reporting process, significantly reducing manual effort and enhancing efficiency for market analysis.
Developing an optimized API was essential for integrating the AI plugin with external data sources. We focused on fine-tuning the API to handle detailed inputs such as market industry, year, and region, ensuring efficient and accurate real-time processing for TAM report generation.
Designing an intelligent, optimized scraper required crafting algorithms to extract relevant market data, including industry-specific insights and regional information. This enhancement allowed for precise data collection and better-informed TAM reports.
We prioritized optimizing the extraction of web data to accurately reflect market industry trends and regional specifics. This refinement improved the quality of the data used, ensuring that the AI models provided actionable and insightful TAM reports.
Our client, David Milward, was with a data governance and management company, where creating Total Addressable Market (TAM) reports for various industries and markets was a routine task. The manual process involved extensive research and analysis, leading to time-consuming report creation. To improve efficiency, David sought a solution for TAM report automation.
David partnered with Tezeract to develop an AI-powered Excel plugin designed for automating TAM report creation with AI. This innovative plugin simplifies the TAM report automation process by allowing users to input key details such as market industry, year, region, and other relevant information. The tool then automatically generates comprehensive TAM reports, eliminating the need for manual research.
To ensure the solution met their specific needs, we collaborated closely with David’s team to understand their reporting methods and processes. The plugin leverages multi-agent LLMs for business automation, including advanced models like Claude, Gemini, and GPT, as well as web scrapers to gather data from the web. These LLM-powered market analysis tools perform tasks such as trend analysis, forecasting, and other market insights, seamlessly transforming raw data into actionable TAM reports.
This multi-agent LLM case study highlights how integrating sophisticated AI models can revolutionize business reporting and analysis.
