About Hallucinations.cloud and Founder Brian Demsey

Our Mission

Hallucinations.cloud was founded to solve one of AI's biggest challenges—hallucinations. When AI systems generate false or misleading information presented as fact, the consequences can range from minor inconveniences to critical failures in healthcare, finance, legal, and other high-stakes domains.

Our mission is simple: make trust in AI measurable and accessible. We believe that AI can be a powerful force for good, but only when its outputs can be verified, validated, and trusted.

By comparing responses across eight leading AI models and applying rigorous verification methodology, we give users the confidence to act on AI-generated insights—or the knowledge to seek human expertise when needed.

Meet Brian Demsey

Founder & CEO, Hallucinations.cloud

Brian is the founder of Hallucinations.cloud, driven by a singular belief: AI's potential is limited not by capability, but by trustworthiness.

With a background spanning technology, data analysis, and AI ethics, Brian recognized early that the rapid advancement of large language models was creating a verification gap. As AI became more fluent and confident, distinguishing accurate information from hallucinated content became increasingly difficult—even for experts.

This realization led to the creation of Hallucinations.cloud: a platform that doesn't just detect when AI gets it wrong, but provides a framework for understanding why, how often, and what to do about it.

"Truth is the only scalable technology."

— Brian Demsey

Brian's approach combines technical rigor with practical accessibility. He believes that AI verification shouldn't be reserved for research labs and enterprise security teams—it should be available to everyone who relies on AI for decisions big and small.

Through the H-Score system and multi-model comparison engine, Brian and the Hallucinations.cloud team are building the reliability layer that AI has been missing.

Read Brian's Insights

Our Core Values

The principles that guide everything we build.

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Transparency

We show our work. Every H-Score comes with the reasoning behind it, so you understand not just what we found, but how.

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Accountability

We hold AI systems accountable for their outputs, and we hold ourselves accountable for the accuracy of our verification.

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Accuracy

Precision matters. We verify against authoritative sources and multiple models to minimize false positives and negatives.

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Integrity

We report what we find, even when the results are inconvenient. Truth doesn't bend to preferences.

Our Journey

2023

The Problem Emerges

Brian identifies the growing gap between AI fluency and AI accuracy, documenting hundreds of hallucination cases across leading models.

2024

H-Score Concept

Development begins on the H-Score rating system, combining Safety, Trust, Confidence, and Quality into a single actionable metric.

2025

Multi-Model Engine

The H-LLM Multi-Model comparison engine launches, enabling real-time verification across eight leading AI systems.

2026

Enterprise Launch

Hallucinations.cloud opens to enterprise customers, providing API access and white-label solutions for organizations requiring verified AI.

Turning AI Hallucinations into Verifiable Truth