
About MAG-AN
MAG-AN is an international scientific consultancy enabling the transition to non-animal, human-relevant biomedical research. Founded by Benjamin Anbiah, CSci, we operate at the intersection of scientific innovation, validation, and regulatory alignment.
We support biotech companies, research organisations, and translational programmes in adopting microphysiological systems (MPS), advanced 3D tissue models, and non-animal testing strategies through a compliance-first approach. Our work focuses on delivering reproducible, regulator-ready, and globally aligned R&D outcomes across the UK, US, and India.
In parallel, MAG-AN is developing internal digital tools and AI-assisted workflows to support compliance mapping, study documentation, and regulatory alignment for non-animal research. These tools are being shaped through real-world consulting engagements and reflect our longer-term ambition to scale validated scientific and compliance expertise through digital platforms.
ABOUT MAG-AN
MAG-AN is an international scientific consultancy founded by Benjamin Anbiah (CSci). We specialize in non-animal testing strategies, micro-physiological systems (MPS), regulatory alignment, and advanced biomedical R&D.
Our work bridges innovation with compliance-first execution — ensuring research teams achieve reproducible, human-relevant, and globally aligned outcomes.

WHAT WE OFFER
MAG-AN enables the transition from spin-out innovation to real-world adoption by addressing validation, operational, and regulatory gaps in line with the FDA Modernization Act 2.0.
We support organisations by:
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Defining and refining Context of Use (CoU) to ensure appropriate and defensible application of advanced models
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Identifying and closing validation and reproducibility gaps aligned to the intended CoU
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Designing benchmarking and performance criteria relevant to regulatory decision-making
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Translating spin-out and academic workflows into operationally scalable programmes
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Mapping studies and evidence to FDA, OECD, and NAMs regulatory pathways
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Leveraging AI-assisted internal tools to support compliance mapping, documentation, and consistency across NAMs-based workflows





