Iris 2

What it does

Our app utilizes the Gemini API to automate a costly and time-consuming workflow of Client Service Associates working at expert network firms. This workflow involves them analyzing a business problem that their client presents them with and then determining how to translate that into a key word search into search engines like Google, or LinkedIn, then manually reading through thousands of profiles to find subject matter experts that can help their client with that problem. With Iris, we have Gemini automatically generating key words based on whatever arbitrary business problem the user has. Then Iris, performs a parallelized key word search to grab relevant people. It then navigates to each of their profiles, and analyzes all of their content using Gemini. We use the Gemini API again to then rank the experts by priority of relevancy to the user’s specific problem. We returns it to the frontend. Then, the user can select which of those experts it wants Iris to reach out to with personalized offers which Gemini generates based on the context with the user, or ask follow-up questions with those selected experts passed in as further context for Gemini (e.g. “find me more people like them”).