AI Data Pipeline & Analysis for Healthcare Startup

The Challenge

A healthcare analytics startup was manually processing clinical trial data from multiple sources. Their data team spent 70% of their time on data cleaning and transformation rather than analysis. Reports that should take hours were taking weeks, putting them behind competitors.

Our Solution

We implemented an AI-powered data pipeline that automatically ingests, validates, cleans, and transforms clinical data from disparate sources. The system uses intelligent agents to identify data quality issues, reconcile conflicting records, and generate standardized datasets. We also built an AI-assisted reporting layer that produces draft analyses and visualizations from natural language queries.

The Results

Report generation time decreased by 3x. The data team now spends 80% of their time on high-value analysis instead of data wrangling. The automated pipeline processes data from 12 different sources with 99.2% accuracy, and the team can respond to client requests same-day instead of next-week.

Services Used