Architecture
The Architecture of Causality
Five layers that transform chaos into structure - from raw signal capture to archetypal pattern recognition. Each layer builds on the last, creating a deterministic decision pipeline.
Design Principles
Why Five Layers?
Most analytics platforms are monolithic - a single pipeline from ingestion to dashboard. Sentient OS separates concerns into five distinct layers because each layer requires fundamentally different computation, latency budgets, and learning cycles.
The Sensor operates at protocol speed. The Translator requires NLP and multimodal understanding. The Logic Engine runs causal analysis. The DNA Layer maintains living vector spaces. And Pattern Recognition performs unsupervised clustering across the entire demand space.
Separating them means each layer can evolve independently, scale on its own axis, and be audited in isolation. The result is a system that compounds intelligence over time rather than degrading as complexity grows.
Explore Each Layer
Dive deeper into any layer of the architecture and discover how Sentient OS transforms your data into autonomous decisions.