Companies need production-grade data pipelines for analytics, statistical models, real-time applications, and AI workflows, but pipeline creation still depends heavily on data engineering capacity. Business users and product teams can define requirements and consume outputs, yet onboarding data products and ensuring quality across Snowflake, APIs, SaaS tools, and internal systems remains slow and engineering-led.