Picture a founder at 1:00 AM, staring at three different dashboards, trying to understand why customer acquisition costs just spiked 40%. She has 18 months of transaction data, detailed user behavior logs, and enough customer touchpoints to map every interaction—but no way to connect the dots fast enough to fix the problem before next quarter’s
Picture this moment: You’ve built an AI algorithm that can detect early-stage diabetic retinopathy with 94% accuracy. Your pilot customers — three ophthalmology clinics — are seeing 40% faster diagnoses. You’re projecting $2M ARR by year two. Then you walk into your first FDA pre-submission meeting and realize your entire architecture needs to be rebuilt.