Perception & Attention
Semantic Routing — Orazaka analyzes the underlying intent of your request to filter noise and route it to the optimal local or cloud model.
- Prefrontal Cortex
Orazaka
Orazaka · cognitive engineering
What is cognitive engineering?
Applied cognitive engineering in AI means structuring and organizing the flow of thought of artificial intelligence.
Instead of treating a large language model as a black box where you send queries and hope for a good answer, Orazaka divides each interaction into clear, specialized stages. This guarantees data security, factual grounding, and AI predictability.
Krizaka designed Orazaka to change this. Orazaka acts as a cognitive engineering copilot: it cleans the query, fetches local memory and knowledge, applies safety checks, and validates the output locally on your machine before delivery. Total sovereignty, fully compliant with Law 25 and GDPR.
FULL COGNITION
The 3 Pillars of Orazaka's Cognition
Inspired by the human brain, Orazaka's engine coordinates 3 major complementary cognitive functions.
Memory & Knowledge
RAG & MCP — Orazaka securely connects the AI to your local files and workspace tools in real-time, without ever exposing personal data.
- Hippocampus
Metacognition & Reflection
Closed-Loop Validation — The AI inspects its own response, self-corrects logic errors, and verifies security policies before displaying the result.
- Anterior Cingulate
CONTROL ARCHITECTURE
The Cognitive Pipeline: 3 Key Stages
Every user interaction flows through a secure three-step sequence to guarantee a flawless response.
Perception & Ingestion
Perception & Ingestion — The query is cleaned, system context variables are injected, and user identity (RBAC) is verified locally.
Reasoning & Context
Reasoning & Context — Orazaka queries long-term context (RAG) and short-term sliding memory, then routes the prompt to the optimal local or cloud model.
Validation & Metacognition
Validation & Metacognition — The final output is audited in a closed loop (JSON schema validation, safety rules, execution sandbox) before delivery.
INFERENCE PROCESSOR
Divided Analysis & Action
Orazaka cleanly separates the information accumulation phase from the decision phase, mimicking human thought.
Stage 1: Ingestion & Enrichment
Stage 1: Ingestion & Enrichment — The engine gathers chat history, vector knowledge (RAG), and system rules to construct a rich context.
- Memory
- Knowledge
- Rules
- Enriched Context
Stage 2: Reasoning & Safety
Stage 2: Reasoning & Safety — The AI reasons in a secure sandbox and validates output compliance before returning the final answer.
- Secure Sandbox
- Compliance Checks
- Secure Delivery
OPERATING MODES
Default Operating Modes
Orazaka includes two built-in standard execution modes while allowing full pipeline extensibility.
Sovereign Mode
Sovereign Mode — Hermetic local execution (via Ollama) ensuring absolute data privacy and direct compliance (Law 25 / GDPR).
- DEFAULT MODE
Deterministic Mode
Deterministic Mode — Strict 0.0 temperature, constrained output schemas (JSON), and closed-loop validation to eradicate hallucinations.
- DEFAULT MODE
Dynamic Effort Adjustment
Effort is not a mode, but an adjustment parameter. The engine analyzes user intent complexity to calibrate reflection tokens and active interceptor depth.
Low
Low — 3–5 interceptors
- Minimal tokens
Medium
Medium — 7–10 interceptors
- Balanced budget
High
High — 11–13 interceptors
- Maximum budget
Extensibility & Custom Modes
Assemble Orazaka's 13 interceptors to design tailored modes. Configure custom business rules, auditing, and security topologies.
- Audit
- Memory
- Security
- Metrics
- Routing
- Cache
Reasoning
Cloud Stateless API vs. Orazaka Reasoning Engine
Classic Cloud API & Chatbot
Simple text generator (Stateless)
- Direct linear pipeline — Queries are relayed directly without prior intent analysis or local context gathering.
- No secure state or memory — Session history and context are volatile, without local isolation or RBAC controls.
- Third-party dependency — Mandatory transmission of raw prompts to external servers (Law 25 & GDPR risks).
- Unchecked raw generation — No output verification or format enforcement, causing frequent hallucinations.
Orazaka Reasoning Engine
Sovereign cognitive infrastructure
- Cognitive interceptor mesh — Each query traverses 5 non-bypassable interceptors, then 8 configured ones, to validate intent and refine the prompt.
- Local memory & RAG — Immediate access to local vector stores and sliding history windows, keeping metadata secure.
- Hermetic on-premise execution — Data remains encrypted inside your private corporate network (native Law 25 & GDPR).
- Closed-loop metacognition — Self-correcting audits verify formats (JSON schema) and security policies before delivery.
Ready to get started with cognitive engineering?
Deploy Orazaka and configure your own compliance rules in minutes.