delentia

Context window token optimizer utilizing causal graph diffs and state delta extraction to achieve 74.2% to 91.5% token and VRAM cost reduction. Preserves execution reasoning causality while drastically compressing verbose dialogue transcripts with cryptographic context hashing. Developed by Delentia Labs under Chief Architect Ittirit Saengow.

Authentic 7-Stage Reverse Component Thinking (RCT-7) mental operating system designed to eliminate LLM hallucination and ensure causal intent alignment. Deconstructs complex dilemmas into atomic sub-tasks and works backward through Inversion Anchors to achieve a verified alignment index of 1.0000. Developed by Delentia Labs under Chief Architect Ittirit Saengow.

Intent-driven multi-agent orchestration framework coordinating 1+4 Specialized Pillar Agents (The Router, The Guardian, The Executor, and The Scribe). Implements dynamic LoRA adapter switching with ultra-low sub-1.06ms transition overhead, decomposing mission objectives into deterministic JITNA v3 packets. Developed by Delentia Labs under Chief Architect Ittirit Saengow.

Deterministic mathematical safety guardrail and Zero-Knowledge policy gatekeeper based on the ZK-FDIA equation F = (D^I) * A. Provides real-time adversarial prompt preemption, enterprise custom policy rule configuration, and cryptographic SHA-256 audit digest generation for autonomous AI agent workflows. Developed by Delentia Labs under Chief Architect Ittirit Saengow.