Contributors & Independent Analyses

NeoMundi Research welcomes external contributors to test, analyze, and challenge the runtime measurement of AI systems.

You want to become a contributor? Please contact us.

1. Why This Page Exists

AI governance cannot rely solely on internal claims.
It must be tested, analyzed, and confronted with external perspectives.
This page presents the contributors who participate in the evaluation, documentation, or critical analysis of NeoMundi’s signals.

2. Charter

  • Contributors retain full independence of analysis.
  • They may use datasets of their choice.
  • Studies officially referenced by NeoMundi Research must anonymize models and providers.
  • Conclusions must clearly state the scope, limitations, and methodology used.
  • Personal API keys must never be published.

3. Contributors

James Aull, ASRO™ – AI Systems Reliability Operator
Independent Contributor – AI Systems Reliability & Governance

Presentation: ASRO™ is an open governance and attestation framework focused on independently checkable AI deployment-state evidence.

Contribution: ASRO’s feedback helped clarify the distinction between measurement, interpretation, governance, attestation, and public communication.

Boundary: This contribution does not constitute certification, validation, partnership, or formal endorsement of NeoMundi.

Work in progress: Exploratory contribution on independent attestation layers for AI governance.
Report: To be published after methodological consolidation.
Profile: [ASRO]

Abdelkrim Halimi
NeoMundi Research Contributor · Data Scientist / Computer Vision

Qualifications: Data Scientist specialized in OCR, computer vision, predictive maintenance, and applied data analysis.

Mission: Independent methodological auditor and data analyst for the V3 cartography.

Objective: Provide an external, rigorous perspective on score distributions, signal consistency, methodological limits, and potential biases in NeoMundi’s runtime measurements.

Work in progress: Independent exploratory contribution.
Report: To be published after methodological consolidation.
Profile: [LinkedIn]

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.

Mission: Independent analytical reviewer of ControlTower V2 metrics (G-Score, ΔG, informational density, ESI signals).

Objective: Audit the statistical robustness of the new metrics, analyze the first V2 data, and identify potential biases or limitations in provider comparisons.

Work in progress: Exploratory audit of informational density metrics and behavioral analysis of proprietary G / ΔG signals.
Report: To be published after methodological consolidation and analysis of the first V2 data.
Profile: [LinkedIn]

NeoMundi Research, independant contributions and analyses.

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