Glossary
Dark Data
Corporate data never analyzed for decisions, rotting in silos. Sentient OS activates this invisible asset.
Definition
Dark Data refers to the vast majority of corporate information that is collected, stored, but never analyzed or used for decision-making. Organizations invest heavily in data infrastructure-data warehouses, CDPs, BI tools-yet most of this data lies fallow in silos, never surfacing when decisions are made. Industry estimates suggest that 60-80% of enterprise data qualifies as dark: it exists, it costs money to store, but it never informs strategy, operations, or customer engagement. Sentient OS is designed specifically to activate dark data. Rather than requiring migration or rip-and-replace, the platform sits as an intelligent decision layer above existing stacks, transforming dormant data into real-time, actionable intelligence. The architecture processes signals at the protocol level, unifying fragmented sources into a coherent decision engine.
Why It Matters
Sentient OS exists because dark data represents trillions in unrealized value. Every organization has more intelligence than it uses. The platform's core mission is activation-turning what you already collect into what you actually act on.
Related Pages
Related Terms
Decision Layer
An intelligent system that sits above existing stack and activates it. Not another dashboard-a system that decides.
Data Warehouse (DWH)
Central repository for structured data. Despite decades of DWH investment, most data remains dark.
Customer Data Platform (CDP)
Platform unifying customer data. Sentient goes beyond CDPs by adding a decision layer, not just data aggregation.
Business Intelligence (BI)
Traditional analytics tools. Sentient argues BI is fundamentally retrospective-'autopsy reports.'
Signal Capture
Total holistic information capture at the protocol level. Multimodal: text, video, audio, visual semantics.
Explore the Full Platform
See how these concepts come to life inside Sentient OS.