How to build an Emerging Tech Research Analyst
An AI-powered workflow that transforms uploaded technology datasets into a structured, insight-rich report—highlighting trends, competitors, and research opportunities.
Challenge
Enterprises struggle to efficiently analyze large, complex technology datasets and identify emerging trends, key players, and competitive threats for actionable reporting.
Industry
Nonprofit
Government
Department
Research
Content Creation
Integrations
Google Docs
OpenAI
This agent is designed to streamline technology scouting and competitive analysis. The process begins when a user uploads a dataset (such as a CSV or PDF of technology innovations) via the Files node. The data is then analyzed by multiple advanced AI models: one LLM node provides a detailed, cited analysis of trends and market opportunities; another LLM generates a focused web search query to find the latest patents, publications, and companies; and a third LLM applies a Jobs-to-Be-Done framework to identify ultra-niche competitors, leveraging both the dataset and the generated search query. All outputs are merged and formatted into a professional, markdown-based report using a Template node. The final report is both displayed in the app and automatically published as a Google Doc, making it easy to share with stakeholders or use in further tech transfer activities. This workflow automates and accelerates the research and reporting process, ensuring that enterprises can quickly surface actionable insights from complex data.
