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SOVEREIGNTY BEGINS WITH MEASUREMENT

We are developing the instrument and continuing its evaluation program.

NeoMundi is opening its AI Observatory to document observable AI system outputs and evaluate calculated signals under explicit conditions.

We document signals and the conditions needed to interpret them.

The goal is to consolidate the method, enrich datasets, industrialize protocols, and gradually build a documented reference framework for signal evaluation and its use in AI system analysis.

The Observatory is designed to encourage cooperation without extraction, attribution without ego capture, and measurement without proclamation.

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Analyses • AI cartographies • Documented observations • Studies

Contribute to the Observatory

You can contribute as a data scientist, researcher, engineer, lawyer, designer, domain expert, or critical observer.
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First Contributors

James Moore
NeoMundi Research Contributor · AI Governance & Healthcare Accountability

Qualifications :  Founder of Nova, an independent governance initiative focused on accountability, execution-time oversight, human responsibility, and decision governance in high-consequence environments.
Work in progress: Exploratory contributions on healthcare AI governance, accountability frameworks, execution-time oversight, and failure-mode analysis.

Fatima Gouarab

Fatima Gouarab
NeoMundi Research Contributor · Data Scientist, Applied Statistics and AI

Qualifications :  Data Scientist with a Master’s degree in Applied Mathematics and Statistics, specialized in data science, AI, and comparative analysis of conversational systems.
Work in progress: Exploratory protocol for comparing responses with and without stop-generation, to measure potential gains in tokens, coherence, stability, and usage cost.

James Aull, ASRO™ – AI Systems Reliability Operator
Independent Contributor · Reliability and Governance of AI Systems

Overview : ASRO™ is an open framework for governance and attestation focused on independently verifiable evidence, regardless of the deployment state of AI systems.
Work in progress: Exploratory contribution on independent attestation layers for AI governance.

Abdelkrim Halimi
NeoMundi Research Contributor · Data Scientist and Computer Vision

Qualifications : Data Scientist specialized in OCR, computer vision, predictive maintenance, and applied data analysis.
Report : Public methodological review of NeoMundi’s May 2026 Comparative Cohort

Pape Malick Diop
NeoMundi Research Contributor · Data Scientist and Machine Learning Researcher

Qualifications : Data Scientist and Machine Learning researcher specialized in statistics, probabilistic reasoning, model robustness, and uncertainty analysis.
Report : Exploratory audit of NeoMundi runtime signals

More details on our Contributors & Independent Analyses page.

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