AI-Powered Network Assistant

System leveraging a combination of no-code / low-code platform that enables an iterative search capability to help me identify the most relevant contact for a particular search. 1) upload CSV file (that was downloaded from LinkedIn prior by the user) 2) populate first name, last name, title, and company in database 3) use LLM to populate tags based on individual's title (per CSV) 4) Use either LLM to identify website based on company name 5) with domain name, integrate 3rd party database (e.g., crunchbase? Google? ideally something low-cost) to expand on information. 6) The AI Agent would need to identify the optimal contact for a specific objective 7) Ideally there is some iterative search process capable: e.g., Using a generative AI chat experience: "I am an entrepreneur with an early-stage company that sells water bottles. I need to raise capital. Which person within my network should I speak with?" System: runs search throughout network. Identifies individuals in system that is investor. Splits investor list by venture category (based on company API) - venture capital vs. private equity vs. hedge fund, etc. Scraps investor websites for individuals at venture capital firms Identifies companies similar to water (using NLP / generative AI to populate similar companies Returns list of individuals who could be appropriate. Sorry, one last piece: all of this would need to link to a Stripe payment.