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super{set} Hive Community

Fricative is a portfolio company of super{set}, a venture studio that conceives, funds, and builds AI-native companies from formation through scale. Fricative is building a Decision Management System designed to help businesses make consequential decisions. The system brings together scattered internal information from systems, spreadsheets, conversations, and people with outside signals such as public filings, market activity, and company announcements. It aims to help teams answer practical questions about what to do, why, and why now, while allowing users to trace where each claim came from, how evidence fits together, and what remains uncertain.

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About super{set} Hive Community

Fricative is a portfolio company of super{set}, a venture studio that conceives, funds, and builds AI-native companies from formation through scale. Fricative is building a Decision Management System designed to help businesses make consequential decisions. The system brings together scattered internal information from systems, spreadsheets, conversations, and people with outside signals such as public filings, market activity, and company announcements. It aims to help teams answer practical questions about what to do, why, and why now, while allowing users to trace where each claim came from, how evidence fits together, and what remains uncertain.

The company serves businesses that make consequential decisions with incomplete views of the world, developing its technology with real clients and real decisions. Fricative works alongside founders as operators, helping shape companies from day one in a category that does not have an existing playbook.

Fricative is hiring for an AI Solutions Strategist. The open role is located in the San Francisco Bay Area or New York City, with frequent travel as needed. The working format is in-office four days a week with flexibility for occasional remote days. The position involves working closely with clients, investigating public sources, and using AI to gather, test, and synthesize evidence to build a repeatable system workflow.

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