SuperMe Raises $20 Million to Scale AI Profiles of Real Experts

By Nathan Brooks

SuperMe announced a $20 million funding round to expand a network of AI profiles built from real experts’ knowledge. Forerunner’s Kirsten Green led the round, with Greylock Partners participating.

That is a sizable capital base for a startup with about 13 employees. SuperMe says it needs scale on both sides: more users asking questions and more experts supplying knowledge.

People often turn to their networks for career and job questions. SuperMe applies that logic to AI, matching each question with experienced people and assembling their AI profiles into a group chat. Users can also open an individual profile, return to earlier groups and ask follow-up questions.

Casey Winters and Ludo Antonov founded SuperMe in 2024 as ChatGPT became popular. They met when Winters was advising Whatnot and decided to build a network business using AI.

Both founders brought experience at large consumer companies. Winters held executive roles at Grubhub, Pinterest and Eventbrite, and has advised Airbnb and Canva part time. Antonov was head of engineering at multiple startups, including Pinterest, Lyft and Whatnot.

SuperMe exposes informal expert networks for niche skills. Winters said: “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?” He wants that knowledge available beyond each expert’s own circle.

SuperMe turns a person’s public record and connected work files into a source of answers. A user can ask, “Analyze my pitch deck. Which parts of the story are the weakest, and which questions should I be most prepared to answer?” SuperMe can draw on AI profiles of longtime VCs Mercedes Bent, Sarah Tavel and Josh Elman.

That makes networking searchable, but it also changes how expertise reaches the platform. SuperMe scans public sources such as LinkedIn, YouTube, Substack and blogs. It also draws on connected apps, including Google Drive, Notion, Gmail and the Granola meeting notetaking tool.

SuperMe said some collected data includes personal information and trade secrets. The startup said it makes sure none of that information appears in answers. Under its model, private material can inform a profile without surfacing the underlying information in the response.

What does this change for users and experts?

For users, the immediate change is a larger network of searchable expert profiles. They can test a pitch, frame a career decision or press on a specialist topic inside one chat, then continue the same thread later. The answers come from AI-generated profiles, not live experts.

For experts, SuperMe has not settled the compensation model. The service is currently free, but the startup plans to cap how many questions users can ask. Users will then have to pay, while the company is still considering incentives that encourage experts to add more knowledge.

That business model puts data contribution at the center of the product. Experts supply material that improves matching and responses; users supply questions that make the network useful. Whether the two sides exchange enough value will determine if SuperMe becomes a durable two-sided business.

SuperMe also supports MCP, the Model Context Protocol that lets AI chatbots connect to outside tools and data. That integration lets users ask questions inside Claude and ChatGPT. It gives SuperMe a distribution path beyond its own website and puts expert matching closer to users’ existing chat habits.

The company has about 13 employees. It is hiring on the technology side to improve AI models for conversation and for matching questions with experts. It is also hiring on the network side to find experts in subject areas the platform does not yet cover.

Forerunner’s Green said SuperMe is well positioned to build a platform where AI collaborates with humans. She called the effort timely because the company remains early in its journey.

Green said lessons must be shared so others can participate productively. “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.”

The next test for SuperMe is whether paid access and expert rewards can turn a free network into a balanced two-sided business. Broader expert coverage must improve matching enough to keep users and contributors engaged.