CrushBank was recently featured in CRN for its approach to solving one of the biggest challenges in enterprise IT today: making data truly searchable and accessible across the organization. The article highlights how CrushBank’s data lakehouse solution built on IBM Cloud allows companies to ingest, normalize, and unlock value from data that was previously siloed, unstructured, or difficult to query.
At the core of the CrushBank solution is the ability to bring together structured, unstructured, and vectored data into a unified environment. This means files like PDFs, JSON documents, HTML content, and raw enterprise data can be ingested into IBM Cloud Object Storage, securely stored, and made searchable in ways traditional data platforms cannot easily support.
One compelling example shared in CRN involves a customer project where a 2,000‑page schematic of Boston’s South Station was ingested into the CrushBank data lake. What had taken technicians three days to manually count and verify using a clicker and floor walkthrough was completed in a single minute using CrushBank’s searchable data platform. This story vividly illustrates the dramatic efficiency gains that come from turning unsearchable data into immediately actionable information.
CrushBank CTO David Tan explained in the interview that many organizations struggle to get value from AI because they have not yet mastered the fundamentals of data preparation: normalizing disparate data, applying correct permissions, and presenting it in a logical, query‑ready format. Once data is prepared in this way and stored in the lakehouse, organizations can bring in custom models or existing tools like LLMs and directly connect them to their data.
CrushBank’s collaboration with IBM Cloud also enables the extraction of structure from unstructured documents, creating tables and indexed data that allow for intelligent search and analytics. The platform then stores both the raw and vectored representations of the data so that it can power everything from performance analytics to advanced AI retrieval tasks.
CrushBank’s data lakehouse is designed not just for large enterprises but especially for midmarket firms that may not have large engineering teams. By normalizing data and giving organizations a unified, governed foundation, CrushBank accelerates AI adoption and enables users to focus on building the applications and agents that deliver real business value.
Read the full CRN feature to learn more about how CrushBank is helping organizations unlock the potential of their data:
https://www.crn.com/news/storage/2025/crushbank-data-lake-house-uses-ibm-cloud-to-makes-enterprise-data-searchable