AI · November 15, 2026

SuperMe raises $20 million for AI expert profile network

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SuperMe has raised $20 million to develop a network of artificial intelligence expert profiles. The startup aims to connect users with AI-generated profiles based on the knowledge of real specialists. By asking a question, users can receive responses from multiple profiles simultaneously. To attract users and experts willing to share their experience, the startup announced this venture funding round.

Starting nearly a decade ago, projects have emerged for interacting with AI copies of living or deceased individuals. For instance, in 2016, a chatbot was launched to converse with a deceased friend, which later evolved into an AI companion. In 2019, HereAfter AI was introduced, allowing individuals to record their memories during their lifetime and interact with their digital archive afterward. During the same period, StoryFile, a platform for interactive video memories, also emerged, enabling people to pre-record answers for their loved ones to ask questions after their death.

The artificial intelligence sector saw a boom in late 2022, particularly after OpenAI made ChatGPT widely accessible. New AI models such as Claude, DeepSeek, and Qwen followed, shifting user inquiries from search engines to AI. Students use AI for homework, chefs create new dishes, marketers develop strategies, and programmers write code.

The founders of SuperMe decided to combine two trends: interacting with a digital copy of a living person and leveraging AI for work-related tasks. The platform allows users to see how AI experts communicate and even debate with each other.

Users can also interact with AI experts outside the application, as SuperMe operates with MCP (Model Context Protocol). This allows questions to be posed to the AI experts within platforms like Claude and ChatGPT.

SuperMe’s network includes marketers and public relations specialists. The service showcases how various models respond to hypothetical scenarios, allowing users to choose the best response. Users are encouraged to share their results in the comments section.