Crebiliti

Revolutionizing AI Trust: Verifying LLM Outputs with Hardware-Anchored Truth Signatures

Try Original DemoChatGPT Interface

The LLM Trust Crisis

Hallucinations

LLMs often generate plausible but false information, presenting it as fact.

Overconfidence

Models claim 100% certainty even on disputed or ambiguous topics.

No Verification

Outputs lack traceable sources or hardware-backed trust mechanisms.

How Crebiliti Solves It

Atomic Fact Decomposition

Break down outputs into verifiable atomic factual units (AFUs).

Corpus Verification

Cross-check against Unified Truth Corpus with confirm/contradict scores.

Trust Signatures

Hardware-anchored (ARM TrustZone) cryptographic signatures for tamper-proof verification.

Patent Background & Principles

Crebiliti is a patented technology that addresses the fundamental trust issues in AI-generated content through hardware-anchored verification.

Overview

This innovation simulates how LLM outputs are decomposed into Atomic Factual Units (AFUs), verified against a Unified Truth Corpus (UTC), and signed with hardware-anchored trust signatures using ARM energy-efficient contradiction detection.

Key Features

  • Three Demo Modes: Custom Input, LLM Limitation Examples, and Side-by-Side Comparison
  • AI-Powered Verification with Ollama Integration
  • ARM Hardware Features including Contradiction Detection and Trust Signatures
  • Real-time Processing with Visual Trust Indicators

Verification Process

  1. Text Input → Sentence splitting
  2. AFU Extraction → Individual factual statements
  3. Corpus Verification → Against Unified Truth Corpus
  4. VF Assignment → Confirm/contradict scores
  5. Trust Signing → Hardware-anchored signatures
  6. Contradiction Detection → ARM processing

Security Features

  • Hardware-Anchored Signatures (ARM TrustZone)
  • Audit Trail with Tamper Evidence
  • Offline Processing Capabilities

See Spark in Action

Experience how Spark reveals the truth behind LLM responses.

Launch Demo