NEXA uses conversational AI to analyze a user's existing contacts and create a private knowledge graph that identifies suitable cofounders, hires, investors, mentors, or key partners. By conducting a brief voice interview, the platform captures nuanced preferences and then routes warm, consent‑based introductions through trusted connections, eliminating cold outreach and recruiter intermediaries while keeping all data private.
Funding
Funding not disclosed
Founders
Product
Problem
Professionals seeking cofounders, hires, investors, mentors, or key contacts must sift through large, impersonal networks and send numerous cold messages, leading to low response rates and wasted time.
Solution
NEXA leverages conversational AI to analyze a user's existing connections and identify individuals who match the desired role or relationship. Users engage in a brief voice interview where NEXA captures goals, values, and context, building a private knowledge graph of the user's profile. The platform then traces trusted pathways within the user's network to arrange warm, mutually‑desired introductions, eliminating cold outreach and recruiter intermediaries. All interactions and data remain private, and the service can be started without a credit card.
Target Audience
Primary users are entrepreneurs, job seekers, hiring managers, and investors who rely on personal networks to find high‑trust partners, hires, or funding sources.
Features
- AI‑driven voice interview that extracts nuanced preferences beyond resume keywords
- Automatic mapping of the user's contact graph to locate optimal match candidates
- Warm, consent‑based introductions facilitated through existing trusted connections
- End‑to‑end privacy: profiles are never crawled by recruiters or sold to third parties
- Single conversational workflow replaces multiple recruiter calls, cold emails, and weeks of networking
- Real‑time feedback loop that improves match quality as more users join the network