Content between organizations: Data from B2B integrations, supplier networks, and commerce flows.
Enterprises need to look at their own private data. Secure information management spans across three types of content to fuel AI:
Human-generated content: Structured data and unstructured data such as files, emails, images, texts, code, and audio created by users.
Machine-generated content: Log files from IT monitoring, security systems, network operations, endpoints, and QA testing.
Agentic AI only delivers value when powered by trusted, proprietary enterprise data
Growing need to solve for data sovereignty, privacy, and industry specificity
Enterprises want to own and govern their content → compliance, security, competitive advantage
Public LLMs trained on open internet → not enough for enterprise-grade, regulated insights
~90%
of the world’s information expected to live inside organizations
including emails, documents, records, workflows, transactions, communications
