Glossary
Signal Capture
Total holistic information capture at the protocol level. Multimodal: text, video, audio, visual semantics.
Definition
Signal Capture is Layer 1 of Sentient OS-the total, holistic capture of information at the protocol level. The Sensor captures multimodal signals: text, video, audio, and visual semantics. Unlike conventional analytics that sample or aggregate, signal capture aims for completeness: every interaction, every engagement, every touchpoint. The architecture processes at the protocol level, ensuring no signal is lost to pre-aggregation. Multimodal capture means video content is analyzed for visual and semantic meaning, not just metadata. Audio carries tone and intent. Text carries explicit and implicit meaning. Signal capture is the foundation: without comprehensive capture, downstream layers operate on incomplete data. Sentient's real-time architecture processes these signals in milliseconds.
Why It Matters
Signal capture is the foundation of the 5-Layer Architecture. Incomplete capture means incomplete intelligence. Sentient captures everything to activate dark data.
Related Pages
Related Terms
Dark Data
Corporate data never analyzed for decisions, rotting in silos. Sentient OS activates this invisible asset.
Real-Time Analytics
Instant processing and decision-making, not batch reports. Sentient acts in milliseconds, not days.
Natural Language Processing (NLP)
AI technology for understanding human language in context. Used in Layer 2 for intent and tonality analysis.
Intent Recognition
Classifying strategic intent behind interactions (informative, transactional, social). A click is not just a click.
KPI Aggregation
Modular linking of semantic metrics into business-specific KPIs with contextual weighting. Layer 3 of the architecture.
Explore the Full Platform
See how these concepts come to life inside Sentient OS.