SuperMe raises $20 million to connect AI profiles of experts
Startup SuperMe has secured $20 million led by Forerunner's Kirsten Green, with Greylock Partners joining, to expand its platform of AI profiles built on experts' knowledge.

SuperMe, a startup that runs AI profiles built on the knowledge of human experts, has raised $20 million (about 26.8 billion Korean won). The round, announced on October 29 local time, was led by Kirsten Green of venture firm Forerunner, with Greylock Partners participating.
When a user asks a question, SuperMe selects the most relevant experts' AI profiles, opens a group chat and lets the profiles answer together. In one example, a founder shares a fundraising pitch deck and asks about its weakest points and the questions to prepare for. AI profiles of venture investors such as Mercedes Bent, Sarah Tavel and Josh Elman then respond. Users can also question a single expert's profile directly or return to earlier chats with follow-ups.
How the profiles are built
The profiles draw on public material such as LinkedIn, YouTube and blogs, plus information from apps the experts connect themselves, including Google Drive, Notion and Gmail. SuperMe says it manages the system so that personal information and trade secrets do not surface in answers. It also supports MCP, the standard that links AI services to outside apps, so users can query SuperMe from inside Claude and ChatGPT.
The company was founded in 2024 by Casey Winters, a former Grubhub and Pinterest executive, and Ludo Antonov, a former engineering head at Pinterest and Lyft. They met while Winters was advising WhatNot and conceived an AI-based network business as ChatGPT spread.
Green said SuperMe is well placed to build a platform where AI collaborates with people, and stressed the need for a network with rewards and benefits so everyone contributes knowledge. Winters said the goal is to open up expert connections once shared only within Silicon Valley.
Pricing and hiring
SuperMe is free for now, but plans to cap the number of questions and charge beyond that limit. It is also weighing ways to reward experts who add knowledge. The 13-person company is hiring engineers to improve the models that match questions to experts, as well as staff to recruit experts in new fields.
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