HARDlight Implements Databricks-Native A/B Testing Framework

HARDlight has built a Databricks-native A/B testing framework that automates experiment ingestion, statistical inference, and decision-ready dashboards with daily LLM summaries and frozen final snapshots. The system uses Unity Catalog, Spark Declarative Pipelines and MLflow for governance and reproducibility, surfaces KPI impacts (LTV, retention, revenue) by segment, and institutionalizes learnings to accelerate iteration and restore trust in experimentation.