records-management
(7)
Iron Mountain
It began as a Cold War bunker for filing cabinets. Seventy-four years later, the same company that guards your grandmother's insurance records is quietly building the warehouses where AI lives.
Sandra Serkes
Sandra 'Sandy' Serkes is the co-founder, president and CEO of Valora Technologies, a Massachusetts software company that has spent more than 25 years teaching machines to read, sort and tag the mountains of documents that organizations forget they own. An MIT and Harvard Business School graduate, she built Valora's PowerHouse and BlackCat platforms into autoclassification tools used by legal, compliance, government and corporate teams to find sensitive information, retire 'dark data' and get ready for AI. She is also an adjunct professor at Columbia University, a frequent industry speaker, and a 2006 'Woman to Watch.'
Ripcord
Ripcord is a Hayward, California company that uses robots, machine learning, and generative AI to digitize the world's paper. Founded in 2015 out of NASA research, it built robots that scan documents - pulling staples and turning records into searchable, structured data through its cloud platform. Today it positions itself as a Document Intelligence as a Service (DIaaS) company, ingesting, classifying, and extracting data from both physical and digital records for clients across financial services, energy, government, insurance, and more.
ZL Tech
ZL Tech (ZL Technologies) is a Silicon Valley enterprise software company that helps the world's largest organizations govern, manage and extract value from unstructured data - email, files and messages - at petabyte scale. Its Unified Archive platform consolidates eDiscovery, records management, regulatory compliance, data privacy, file analysis and analytics under a single architecture, eliminating the data silos that drive up cost and legal risk. Founded in 1999 by Kon Leong and Arvind Srinivasan, ZL serves Fortune 500 firms and federal agencies and has been recognized in Gartner's Magic Quadrant for Enterprise Information Archiving for more than a decade. Today the company positions that same governed data layer as the foundation for enterprise GenAI and analytics.
Valora Technologies
Valora Technologies is a Massachusetts-based information governance company that builds AutoClassification software powered by machine learning. Its PowerHouse engine and BlackCat interface scan, analyze, tag, and defensibly dispose of enterprise content across cloud and on-premises repositories, helping legal, compliance, records, and IT teams tame sprawling, unstructured data for privacy, eDiscovery, and AI-readiness use cases.
Hyland
Hyland is a Westlake, Ohio software company that helps large organizations capture, manage, and act on their unstructured content - the contracts, claims, patient charts, and forms that pile up in every enterprise. Built around its flagship OnBase platform and bolstered by acquisitions like Alfresco and Nuxeo, Hyland has spent three decades turning document chaos into automated workflows. Today it is repositioning around the Content Innovation Cloud, layering AI agents and intelligent document processing on top of the content services its 4,000-ish employees have sold to healthcare systems, banks, insurers, and governments worldwide.
Kon Leong
Kon Leong is the CEO and co-founder of ZL Technologies, a Milpitas-based enterprise software company he built from the ground up in 1999 to tackle the problem nobody else wanted to solve: the mountain of unstructured human data - emails, documents, messages - that sits at the center of every corporate compliance, legal, and AI challenge. A serial entrepreneur who migrated from China to India to Canada to the US, Leong brought a rare mix of deep IT engineering, Wall Street M&A finance, and startup grit to a market that was just waking up to its own data problem. Today, ZL Technologies serves Fortune 500 companies and government agencies across financial services, healthcare, and the public sector, with a platform that manages data in-place at speeds up to 1,000 times faster than conventional approaches.