AI-moderated research with qualitative depth at scale
HQ: San Francisco, California, United States | Founded: 2022 | Employees: Not disclosed in the reviewed sources | Stage: $30M Series B December 2025; company-reported $51M total financing | Website: https://outset.ai/
Aaron Cannon and Michael Hess founded Outset in 2022, according to Y Combinator. Cannon previously held product roles at Untapped, Triplebyte, Tesla, and other organizations. The platform combines AI moderation, analysis, recruitment, multilingual interviews, and researcher controls.
The December 10, 2025 company release states $30M Series B and $51M total funding, naming Radical as lead despite a conflicting YC linked-news headline. This profile follows the full primary release. Named users include Microsoft, Nestlé, Away, Uber, and HubSpot. Growth and speed comparisons are company-reported rather than independently audited measures of research validity.
Outset uses AI to conduct adaptive qualitative interviews and synthesize results for research teams. Its December 2025 Series B raised $30M led by Radical Ventures, with M12 and existing backers participating. It is expanding from standalone research toward continuous customer-experience insight.
Editorial assessment: the product addresses the tradeoff between survey scale and interview depth. Durable value depends on participant quality, researcher control, methodological rigor, and making outputs genuinely useful for decisions.
Evidence boundary: financing announcements establish disclosed transactions, not audited operating performance. Unavailable headcount, margins, and retention are not estimated, and company claims remain attributed.
Category: AI & Machine Learning Startups
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