SuperMe Secures $20 Million to Scale AI Expert Network
The startup builds AI profiles from expert knowledge to provide specialized professional advice.
1Funding for Expert AI
SuperMe has successfully raised $20 million in a funding round led by Kirsten Green at Forerunner, with participation from Greylock Partners. The startup, founded in 2024, aims to scale its network of AI profiles that synthesize the knowledge of real-life experts to answer complex professional questions for its growing user base.
2Founding Team Background
The company was established by Casey Winters and Ludo Antonov, both veterans of major consumer technology firms. Winters previously held executive roles at Grubhub, Pinterest, and Eventbrite, while Antonov served as head of engineering at companies including Lyft and Whatnot. Their collaboration began while Winters was advising the startup Whatnot.
3Mechanism of Expert Access
Users interact with the platform by typing questions into a chatbot, which then identifies the most suitable experts to address the query. The system creates a group chat featuring AI profiles of these individuals. This allows users to receive nuanced advice from professionals like VCs Mercedes Bent and Sarah Tavel.
4Data Sourcing and Privacy
To build its AI models, SuperMe scans public sources including LinkedIn, YouTube, Substack, and blogs. It also integrates with personal tools like Google Drive, Notion, and Gmail. The company explicitly states that while it processes sensitive data, it ensures that personal information and trade secrets are never exposed in final answers.
5Integration and Accessibility
SuperMe utilizes the Model Context Protocol to function within existing AI environments like Claude and ChatGPT. This interoperability allows users to leverage the expert network directly from their preferred chatbot interfaces. Currently, the service is free, though the startup plans to implement a usage cap and introduce paid subscription tiers soon.
6Incentivizing Expert Participation
The startup is currently exploring methods to incentivize experts to contribute more knowledge to the platform. As the network grows, balancing the supply of expert insights with user demand remains a primary focus. The team is actively hiring to improve matching algorithms and to recruit experts in currently uncovered subject areas.
7Operational Team Growth
With a current headcount of 13 employees, SuperMe is prioritizing technical recruitment to refine its conversational AI models. The company is specifically looking for talent to enhance the matching logic between user queries and expert profiles, ensuring that the advice provided remains high-quality and relevant to the specific professional context required.
8Strategic Market Positioning
Forerunner’s Kirsten Green highlights that SuperMe is well-positioned to define the future of human-AI collaboration. By establishing a structured network for knowledge sharing early in the AI adoption cycle, the company seeks to create a productive ecosystem where experts are rewarded for sharing insights that were previously locked within their heads.
Original article: TechCrunch — SuperMe Secures $20 Million to Scale AI Expert Network