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This study examines data management and scaling in AI startups. It uncovers the distinctive scaling dynamics of AI startups, where data emerges as a central resource. Through qualitative research and interviews with 13 AI startups, operational complexities and strategic approaches in data management are unveiled. The research employs a practical Framework of Data Conceptualisation for AI startups, which we developed based on our findings, enriching both scientific understanding and entrepreneurial theory in the AI domain.

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The Role of Data Management in Scaling AI Startups: A Practical Framework

  • 会议论文

  • 发表日期：

    2026年

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  • Tilman Friedrich,
  • Lukas Sanwald,
  • Isabelle Keutner

摘要

This study examines data management and scaling in AI startups. It uncovers the distinctive scaling dynamics of AI startups, where data emerges as a central resource. Through qualitative research and interviews with 13 AI startups, operational complexities and strategic approaches in data management are unveiled. The research employs a practical Framework of Data Conceptualisation for AI startups, which we developed based on our findings, enriching both scientific understanding and entrepreneurial theory in the AI domain.