Side-by-side comparison of AI visibility scores, market position, and capabilities
TeamOhana bridges finance headcount models and HRIS data in a live collaborative plan, eliminating end-of-quarter spreadsheet reconciliations between finance and HR; raised $14M+, SF.
TeamOhana was founded in 2020 in San Francisco and raised over $14M to build a headcount planning platform that bridges the gap between finance teams modeling headcount budgets in spreadsheets and HR teams managing actual employee data in HRIS systems. The platform creates a live, collaborative headcount plan that connects financial headcount models with real-time HRIS data, ensuring that finance and HR are always working from the same information rather than reconciling divergent spreadsheets at the end of each quarter.\n\nThe platform supports seat-level headcount planning where each open and filled role has associated compensation details, benefits costs, start dates, and budget owner attribution. Recruiters, HR business partners, and finance teams can all view and contribute to the plan within their respective areas of ownership, with approval workflows that gate headcount additions and compensation changes behind the appropriate decision makers. TeamOhana also integrates with ATS systems to connect approved headcount to active recruiting pipelines.\n\nTeamOhana targets mid-market and growth-stage technology companies with 100 to 2,000 employees that have moved beyond spreadsheet headcount planning but are not yet ready for the complexity of enterprise workforce planning tools like Anaplan or Workday Planning. The company competes with Mosaic, Pigment, and Planful in the broader business planning space, while occupying a more HR-specific niche that emphasizes compensation management alongside headcount.
SF YC S23 AI user research platform with 4x revenue growth 2024 serving WeightWatchers, Nestlé, Microsoft; $20.8M total ($17M 8VC Series A 2025) conducting 100x-faster AI-led qualitative interviews competing with Qualtrics for enterprise research automation.
Outset is a San Francisco-based AI user research platform — backed by Y Combinator (S23) with $20.8 million in total funding including a $17 million Series A in 2025 led by 8VC with Future Back Ventures (by Bain), Adverb, Rebel, Genius Ventures, Ritual, and Alt, following a $3.8 million seed in 2023 — providing enterprise research, product, and customer insights teams with an AI-powered interview platform that conducts open-ended qualitative research interviews autonomously, synthesizes responses across hundreds of participants, and delivers structured insights 100x faster than human-led qualitative research methods. Founded in 2023 by Aaron Cannon and Michael Hess, Outset serves enterprise customers including WeightWatchers, Nestlé, and Microsoft, and achieved 4x revenue growth in 2024 with 20% month-over-month revenue growth.
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