BOOTH D104

join our data chaos afterparty
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bem processing data that flows into Databricks Lakehouse

Taming unstructured chaos with bem

The fastest way to turn PDFs, spreadsheets, and messy data into structured, schema-valid outputs for your Databricks pipelines.

Meet us at Data + AI. Or come party with the chaos.

Your pipeline deserves better than a parsing bandaid

You’ve got your warehouse, your lakehouse, and your models. But getting messy inputs into those systems still sucks.bem is the structuring layer between raw docs and Databricks—designed to clean, enrich, and route data from real-world inputs automatically.

  • Turn PDFs and spreadsheets into clean JSON aligned to your schema
  • Automatically split, join, enrich, and validate incoming data
  • Route outputs straight into your lakehouse or Delta Live Tables
  • Evaluate and test accuracy—field by field
bem processing data that flows into Databricks Lakehouse

Embed bem upstream of your lakehouse

Think of bem as the invisible ETL layer for messy, unstructured documents. It integrates via webhook, API, or file drop—and delivers schema-conforming, typed outputs directly to your Databricks jobs, tables, or endpoints.

Bems data chaos party. Gorilla beating pdfs

Can 100 PDFs beat a gorilla?

Data Chaos: The Afterparty

Wednesday, June 11 — 5:30 PM to 8:30 PM
589 Howard St, Suite 200, San Francisco (5 min walk from the conference)

Want to see how bem works on your docs?

Try it free, or talk to our team at the booth.