AI-powered networking startup SuperMe has raised $20 million in a funding round led by Kirsten Green at Forerunner, with participation from Greylock Partners. The company plans to use the fresh capital to expand its network of AI-powered expert profiles, connecting users with specialised knowledge and professional insights through artificial intelligence.
SuperMe operates a network of AI profiles built using the knowledge and expertise of real professionals. When users submit a question, the platform identifies experts best suited to address the query and creates a group chat featuring their AI profiles. This approach aims to make specialised professional advice more accessible without requiring users to directly connect with individual experts.
Founded in 2024 by Casey Winters and Ludo Antonov, SuperMe brings together two entrepreneurs with experience at major consumer technology companies. Winters previously held executive positions at Grubhub, Pinterest, and Eventbrite and has also advised companies such as Airbnb and Canva. Meanwhile, Antonov has served as head of engineering at several startups, including Pinterest, Lyft, and Whatnot.
The founders connected when Winters was advising Whatnot. As ChatGPT gained popularity, the two identified an opportunity to build an AI-powered professional knowledge network that could make expert insights more widely accessible.
“There are these hidden networks in Silicon Valley of who the best people are for niche skills. Our idea was: Could we make that network of who the absolute best people are more transparent, and could we take all of the key insights that are locked inside their heads and make them more readily available?” Winters said.
Users can access SuperMe through its website by entering questions into its chatbot, which then assembles a group of relevant AI experts. They can also revisit existing groups and ask follow-up questions. For instance, someone seeking feedback on a startup pitch deck can ask, “Analyze my pitch deck. Which parts of the story are the weakest, and which questions should I be most prepared to answer?” The platform can then generate responses using AI profiles of experienced venture capitalists, including Mercedes Bent, Sarah Tavel, and Josh Elman. Users can also interact directly with individual expert profiles instead of participating in group discussions.
To build its expert knowledge network, SuperMe collects information from publicly available sources such as LinkedIn, YouTube, Substack, and personal blogs. Additionally, the platform draws on connected applications, including Google Drive, Notion, Gmail, and meeting transcription tools such as Granola.
The company said the information it collects may include personal details and confidential business information, including trade secrets. However, it has safeguards in place to ensure that such sensitive information does not appear in responses generated by its AI profiles.
SuperMe currently offers its platform free of charge but plans to introduce limits on the number of questions users can ask before requiring payment. The startup is also exploring incentive models to encourage experts to contribute more knowledge and strengthen the network.
Furthermore, the platform supports the Model Context Protocol (MCP), a standard that enables AI assistants to connect with external tools and data sources. This integration allows users to access SuperMe’s expert network through AI chatbots such as Claude and ChatGPT.
SuperMe currently has approximately 13 employees and plans to expand its workforce across technology and network development. On the technology side, the company is hiring professionals to improve its AI models for conversations and expert matching. It also plans to strengthen its network team to identify and onboard specialists in subject areas that the platform does not currently cover.
Kirsten Green of Forerunner believes SuperMe has an opportunity to establish a platform where artificial intelligence and human expertise work together.
“I think it’s one of the reasons why this is very timely, and it’s good to have something like this establishing itself when we’re relatively early in this journey,” she said. “Because there’s going to be so many lessons that are going to be learned, and they need to be shared so that people can come along in a productive way. I think that the balance here is to build a network so that you do have a true sharing component where there are incentives and benefits for everybody to contribute what they know.”
