CognitiveX is a production-ready cognitive infrastructure platform that combines memory, cognition, and decision layers. It enables organizations to build AI systems that can store, understand, and act on complex information at scale.

How is CognitiveX different from LangChain or LlamaIndex?

While LangChain and LlamaIndex are development frameworks, CognitiveX is a complete production platform. We provide managed infrastructure, advanced RAG capabilities, autonomous agents, and enterprise features like SSO, white-labeling, and self-hosting out of the box.

Can I self-host CognitiveX?

Yes! Enterprise customers can deploy CognitiveX in their own infrastructure. We support Docker, Kubernetes, and on-premise deployments with full data sovereignty and air-gapped environments.

Absolutely. We're SOC 2 Type II certified, GDPR compliant, and support end-to-end encryption. For enterprise customers, we offer self-hosted deployments where your data never leaves your infrastructure.

How does pricing work?

We offer three tiers: Starter (free for individuals), Professional ($99/user/month with unlimited usage), and Enterprise (custom pricing with dedicated infrastructure and support). All plans include core cognitive features.

Understanding the 4 Cognitive Layers

# Understanding the 4 Cognitive Layers

CognitiveX is built on a revolutionary four-layer architecture that mirrors how human cognition actually works. Each layer builds upon the previous one, creating a sophisticated system capable of true intelligent reasoning.

Layer 1: Memory Layer (85% Complete)

The Memory Layer is the foundation of CognitiveX. It provides:

**Vector Embeddings**: Semantic understanding of all stored knowledge
**Advanced RAG**: Context-aware retrieval with citations
**Multi-modal Storage**: Text, code, images, and structured data
**Cost Optimization**: 85% reduction through intelligent caching

Technical Implementation

The Memory Layer uses PostgreSQL with pgvector for efficient similarity search. Every piece of knowledge is embedded using state-of-the-art models and stored with rich metadata.

Layer 2: Cognition Layer (60% Complete)

The Cognition Layer adds reasoning capabilities:

**Reflection Engine**: Captures AI reasoning processes
**Pattern Recognition**: Extracts reusable cognitive patterns
**Interactive Reasoning Graph**: Visualizes thought processes
**Context Building**: Maintains coherent understanding

This layer is what separates CognitiveX from simple RAG systems. It doesn't just retrieve information—it thinks about it.

Layer 3: Decision Layer (20% In Progress)

Currently under development, the Decision Layer will provide:

**Adaptive Routing**: Choose the best LLM for each task
**Multi-agent Coordination**: Orchestrate complex workflows
**Decision Quality Metrics**: Learn from outcomes
**Cost-Performance Optimization**: Balance quality and expense

Layer 4: Collective Layer (Planned)

The future of CognitiveX—enabling:

**Federated Learning**: Learn from distributed knowledge
**Semantic Normalization**: Standardize patterns across organizations
**Privacy-Preserving Sharing**: Collaborate without exposing data
**Global Engineering Mind**: Connect 100,000+ engineers

Why This Architecture Matters

Traditional AI tools treat each interaction in isolation. CognitiveX builds a growing, learning system that gets smarter over time. Each layer adds new capabilities while preserving the benefits of previous layers.

Getting Started

Ready to explore the cognitive layers yourself? Visit our platform to see them in action.