Heynunchi provides a relational intelligence platform that consolidates and enriches network data into a searchable People Hub, enabling organizations to visualize connections and retrieve context‑aware insights via an AI assistant. By ingesting data from spreadsheets, CRM tools, and APIs, and using a retrieval‑augmented generation layer, it offers secure, real‑time recommendations and profile information without training external models, helping membership‑based groups nurture relationships and deliver personalized experiences.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations that manage members, alumni, students, or employees rely on spreadsheets, generic CRMs, and chat tools that cannot capture the nuance of human relationships, leading to fragmented data, missed connection opportunities, and inefficient network management.
Solution
Heynunchi offers a relational intelligence platform that transforms raw network data into a searchable, enriched People Hub. By importing CSV, Google Sheets, or integrating with existing tools, the system visualizes connections and enriches profiles with publicly sourced information. A proprietary retrieval‑augmented generation (RAG) layer securely connects the hub to large language models, enabling an AI Assistant to answer queries using the organization’s own data without training the models on it. Members receive personalized profile cards, recommendations, and a secure login portal to discover and connect with others. The platform also provides Slack integration and API connectors to keep data synchronized across the tech stack, delivering a single source of truth for relationship‑driven decision making.
Target Audience
Primary customers are membership‑based organizations such as alumni associations, student groups, professional societies, and employee networks that need to nurture relationships and deliver personalized member experiences.
Features
- Data ingestion from CSV/XLS, Google Sheets, Google Forms, and API integrations with existing CRM and marketing tools
- Secure, US‑hosted VPC storage with encryption at rest and in transit, and role‑based access controls for private People Hubs
- Retrieval‑augmented generation (RAG) that lets large language models query organization‑specific data in real time without exposing it for model training
- AI Assistant that provides context‑aware answers, profile insights, and connection recommendations based on enriched member data
- Interactive visual hub where members can claim and edit their profile cards, search the network, and receive automated connection suggestions
- Slack integration that converts chat threads into actionable insights and updates the People Hub automatically
- Data enrichment service that augments member records with validated public information and source citations