SuperMe
Seed
SuperMe operates an AI-native professional network that surfaces expert perspectives through searchable AI profiles.
Founded
2024SuperMe operates an AI-native professional network that surfaces expert perspectives through searchable AI profiles.
SuperMe is an AI-native professional network centered on Perspective Search, which lets users ask business questions and receive answers grounded in verified professionals experience. Members build AI Profiles from talks, posts, and work artifacts, and the platform indexes those perspectives for discovery.
Beyond search, SuperMe offers an Insights Agent that ingests documents from Google Drive, Notion, Gmail, and meeting tools to enrich profiles, plus MCP integrations that surface expert knowledge inside Claude, Claude Code, and other agent workflows without leaving the users primary tools.
Demand for expert advice is growing as generative AI spreads across workplaces, yet generic chatbots often lack accountability and domain-specific judgment. SuperMe targets professionals who want searchable, attributable perspectives from operators who have solved similar problems in growth, product, and engineering contexts.
The company seed financing and integrations with agent platforms position it to ride adoption of MCP-enabled workflows. If SuperMe expands its expert corpus and maintains profile quality, it could capture share from legacy networks and standalone AI-clone products in knowledge-sharing categories.
SuperMe differentiates from traditional professional networks by grounding answers in curated AI profiles built from each members real work output rather than self-reported resumes or generic model completions. Perspective Search returns named expert perspectives with traceable source material, which supports higher-trust advisory use cases.
The platform also integrates into existing workflows through MCP and document connectors, reducing friction for professionals who want their private docs and meeting notes to inform a public-facing expertise layer while retaining granular privacy controls over what gets surfaced.