Flume Health's homepage answers the LinkedIn ads, but the hero buries the 10x claims story

Enterprise data estates have outgrown human understanding. Thousands of tables, decades of schema drift, non-existent documentation. Few understand where and how to access data. Flume is the missing context layer that uses the patterns already in your data estate to automatically generate meaning and mapping. Making on-demand intelligence, agentic workflows and ETL pipelines possible

On-demand operational intelligence. Stop waiting weeks for answers. Query claims. Rank members. Identify gaps. With full lineage, observability -- executed with deterministic SQL Flume turns your complex, massive data estate into an answer engine.

Typical enterprise data report requires 4–6 systems, multiple specialists, and 5+ days from question to answer. Most of that time is spent finding and validating data, not analyzing it. Flume's eliminates the redundant spelunking step. One analyst now runs the same investigation in under 30 minutes with full lineage and validated SQL. See how Optum and Blue Cross Blue Shield of Minnesota use ContextBase to run deeper analytics, on demand

LLMs fail in enterprise data environments past ~50 tables. Hallucinations begin, joins become unreliable, and accuracy collapses. Real enterprise schemas have thousands of tables. Flume maps data flows to understand meaning, stores that in ContextBase, and achieves 95% accuracy on massive, complex enterprise data. See how Optum and BCBS Minnesota use AI to put their data to work.

Enterprise analysts spend ~80% of their time searching for data and validating joins, not answering questions. Most teams scale by adding headcount, not by removing the bottleneck. Flume's context graph eliminates the data-discovery step entirely. One analyst can now produce the output of a team of six -- in minutes See how Optum and BCBS Minnesota use ContextBase to scale analyst output.

See how Optum and Blue Cross Blue Shield of Minnesota use Flume AI to run complex cross-system analytics -- accurately in minutes, Typical enterprise data reports span 4–6 systems, multiple specialists, and 5+ days from question to answer. Most of that time is spent finding and validating data, not analyzing it. Flume's eliminates the redundant spelunking step. One analyst now runs the same investigation in under 30 minutes with full lineage and validated SQL.

Your BI team is 6 weeks behind because every ad hoc question becomes a data engineering ticket — find tables, write joins, validate output, deliver answer. Flume lets non-engineers query data directly in plain English with validated SQL and full lineage. The BI backlog clears. See how Optum and BCBS Minnesota eliminate BI bottlenecks with ContextBase.