Intelligent Interface and Sensor Layer
Input and context formation layer
Normalizes documents, streams, APIs, sensors, media, and external search into structured observation envelopes.
Technology
Aerius coordinates memory, reasoning, observation, identity, domain knowledge, and evidence traces around AI models and external systems.
Architecture flow
The architecture separates observation, orchestration, reasoning, memory, knowledge systems, trace records, and response or action.
User / Environment / Data Sources
IISL / COR - Observation and Context Formation
CCO - Central Cognitive Orchestrator
PbR / Stack Brain - Reasoning Control
Memory & Knowledge Systems
Trace / Evidence / Policy Gates
Response / Action / Human Review
Core modules
Each layer has a clear responsibility and can be discussed independently with investors, researchers, enterprise partners, and institutional reviewers.
Input and context formation layer
Normalizes documents, streams, APIs, sensors, media, and external search into structured observation envelopes.
Intent-driven perception governance
Controls what to observe, from which source, at what resolution, and under which evidence requirement.
Cognitive coordination layer
Directs memory, reasoning, observation, policy-aware processing, tools, and trace records across specialized modules.
Reasoning priority and resource control
Manages importance, urgency, confidence, risk, compute budget, latency, and expected utility.
Multi-stack cognitive orchestration
Coordinates multiple reasoning stacks inside a shared decision window for specialized, inspectable cognitive paths.
Tiered cognitive memory
Provides tiered, evidence-aware, versioned, and deterministic memory retrieval under explicit policies.
Identity-bound memory
Maintains structured memory around people, entities, preferences, roles, trust, boundaries, and context over time.
Human-driven knowledge evolution
Extracts, structures, validates, promotes, quarantines, and governs human-derived knowledge.
Domain-specific cognitive runtime
Transforms domain knowledge from passive text into loadable, governed reasoning protocols.
Expression and state alignment
Aligns affective state, expression intent, safety envelopes, and response shaping with cognitive reasoning.
Reusable cognitive results
Reuses prior cognitive outputs only when task, context, evidence, time, policy, and risk conditions match.
Governed intent-to-action runtime
Converts cognitive intent into digital or physical action plans under policy, role, safety, and human-review constraints.