Glossary
Total Information Capture
Every signal that can inform a decision is captured before it becomes dark data - no sampling, no sampling bias.
Definition
Total Information Capture is the foundational principle of the Sensor layer. Unlike conventional analytics that sample data or process batch summaries, the Sensor captures every signal at the protocol level - multimodal across video, audio, text, and visual semantics. Processing 2.4M+ signals per second continuously, the system ensures no dark data is created. Network connections, exact timestamps, subtle behavioral patterns, and cross-signal relationships are all preserved. This completeness is what enables downstream causal analysis and deterministic execution: you cannot make deterministic decisions from sampled data.
Why It Matters
Complete signal capture is the foundation of informational superiority. If you miss signals, you miss causes. Sentient misses nothing.
Related Pages
Related Terms
Sensor Layer
Layer 1 of the 5-Layer Architecture - holistic signal capture at the protocol level, processing 2.4M+ signals per second.
Dark Data
Corporate data never analyzed for decisions, rotting in silos. Sentient OS activates this invisible asset.
Signal Capture
Total holistic information capture at the protocol level. Multimodal: text, video, audio, visual semantics.
5-Layer Architecture
The Sensor, Translator, Logic Engine, DNA, and Pattern Recognition pipeline that transforms raw signals into deterministic decisions.
Explore the Full Platform
See how these concepts come to life inside Sentient OS.