SuperMe raises $20M to expand its AI expert profile network
SuperMe has raised $20 million to expand a network of AI profiles built from the knowledge of real-life experts. The round was led by Kirsten Green of Forerunner, with participation from Greylock Partners. Founded in 2024 by Casey Winters and Ludo Antonov, the startup is building a service that directs a user’s question to relevant expert profiles and creates a group chat for the resulting exchange.
The product is designed for career and job-related questions that might otherwise be taken to a personal network. A user can submit a prompt through SuperMe’s website, return to a group already formed, ask follow-up questions, or address an expert profile directly. One example offered by the company is a request to analyse a pitch deck and identify weaknesses in its story and likely investor questions.
AI profiles draw on expert knowledge
SuperMe says its system selects the experts best suited to a question and uses their AI profiles to provide answers. Its profiles can represent investors including Mercedes Bent, Sarah Tavel and Josh Elman. Winters said the company was motivated by the less visible networks through which people identify specialists with niche skills, and by the possibility of making those insights more accessible.
To assemble knowledge, the platform scans public materials including LinkedIn, YouTube, Substack and blogs. It can also use connected applications such as Google Drive, Notion, Gmail and meeting-notetaking service Granola. SuperMe acknowledged that some of this material may contain personal information and trade secrets, and said it ensures neither appears in responses.
Integration and commercial plans
The startup also supports MCP, or Model Context Protocol, a standard that enables AI chatbots to connect with external tools and data. That support allows users to ask questions through chatbots including Claude and ChatGPT, rather than using only the SuperMe website.
SuperMe currently offers the network for free, although it plans to limit the number of questions users can ask and charge after that threshold. The company is also considering incentives for experts to contribute more knowledge. It has about 13 employees and is hiring technical staff to improve conversational AI and question-to-expert matching, as well as network staff to recruit specialists in areas it does not yet cover.
What the funding is intended to support
Forerunner’s Green described the opportunity as building a platform in which AI collaborates with people and knowledge can be shared with incentives for contributors. The funding gives SuperMe resources to grow both sides of that network: people asking questions and experts supplying knowledge.
For businesses, the practical implication is to define which internal knowledge may be connected to AI systems, how sensitive material will be protected, and whether expert-based answers offer useful support for day-to-day decisions before adopting such tools.