The Sensor

Multimodal Capture

Holistic signal capture across video, audio, and visual semantics. Every signal that can inform a decision is captured.

• •Video analysis - object detection, scene understanding
• •Audio analysis - tonality, stress levels
• •Visual semantics - what the user sees and how they respond

Deep Analysis

Not just surface-level metrics. The Sensor captures the full context that makes signals meaningful.

• •Exact timestamps - when things happen matters
• •Hidden network connections - relationships between signals
• •Subtle behavioral patterns - micro-expressions, hesitation

No Dark Data

Signals are captured before they are lost. The decision layer receives total information, not sampled or aggregated approximations.

• •Continuous capture - no sampling bias
• •Full fidelity for downstream causal analysis
• •Deterministic execution starts with complete input

Real-Time Ingestion

Streaming pipeline so the Translator and Logic Engine receive signals as they happen. No batch lag.

• •Stream-first architecture
• •Low-latency path to intent and weighting
• •24/7 coverage for Command Center modules

Context Preservation

Network and sequence context are preserved. Who saw what, when, and in what order - all available for the next layer.

• •Session and sequence awareness
• •Cross-signal relationship metadata
• •Ready for contextual weighting in the Logic Engine

Deterministic Execution Foundation

Complete signal capture ensures the decision layer receives total information. No sampling bias, no dark data - causal analysis starts from full input.

• •Full fidelity for downstream Logic Engine and Pattern Recognition
• •Traceability from raw signal to behavioral archetype
• •24/7 coverage for Command Center modules

From Signal to Decision

Signals captured by the Sensor flow directly into the Translator for semantic deconstruction. No signal is lost between layers - Nami orchestrates the handoff. The foundation of deterministic execution is complete information.