The platform functions by analyzing an expert’s professional history and public contributions—including LinkedIn, YouTube, and personal blogs—to create a digital surrogate capable of answering specific career questions. Users initiate interactions by posing inquiries to a group of AI-generated personas, such as veteran venture capitalists Mercedes Bent or Sarah Tavel, who provide feedback on complex tasks like refining pitch decks. To ensure accuracy and depth, the startup integrates with productivity tools like Notion, Google Drive, and Granola, though it maintains safeguards to prevent the disclosure of trade secrets or sensitive personal data.
SuperMe Secures $20M to Scale AI-Powered Expert Networks
Silicon Valley veterans Casey Winters and Ludo Antonov have raised $20 million to build SuperMe, a platform that synthesizes the knowledge of real-world experts into interactive AI profiles. Led by Forerunner’s Kirsten Green, the funding aims to bridge the gap between niche professional insights and accessible, on-demand AI guidance.
Founded in 2024, the company currently operates as a free service, though leadership plans to introduce usage caps and paid tiers as the network expands. The team is also exploring incentive models to encourage high-profile experts to contribute their knowledge to the platform. By utilizing the Model Context Protocol, SuperMe extends its reach beyond its own website, allowing users to access these expert profiles directly within third-party interfaces like ChatGPT and Claude. With a current staff of 13, the startup is aggressively hiring engineering talent to refine its conversation models and expand its reach into new subject matter domains.
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