TamRx — Temporal Analytics & Modelling

Simulation environments for evaluating AI systems under real biological conditions

Positioning

TamRx provides simulation environments to evaluate how AI systems behave under biological conditions not observable in real-world datasets.

The platform supports the validation of medical AI systems by exposing their behaviour under therapy-driven physiological changes.

Outputs are structured to support technical evaluation and regulatory workflows.

Mission

Healthcare systems have long relied on leaflets to inform patients, clinicians, and manufacturers about the risks, side effects, and limitations of therapies.

TamRx extends this principle to AI systems.

Our mission is to make the deployment of AI in healthcare safer by clearly describing how models behave under real biological conditions, including therapies, disease progression, and physiological variation.

We aim to provide Digital Leaflets that communicate potential risks and limitations to all stakeholders — patients, clinicians, pharmaceutical companies, and device manufacturers.

TamRx seeks to contribute to a safer digital healthcare ecosystem by making system
behaviour visible before deployment.

Vision

To become a reference layer for AI vigilance in healthcare.

TamRx aims to pioneer the structured evaluation of AI systems under biological conditions and to establish Digital Leaflets as a standard for communicating behaviour, risk, and limitations

The long-term objective is to support the safe integration of AI systems into clinical environments through transparent and structured evaluation.

FOUNDER

Mounsif Tamani

PharmD, MSc Biological Data Science

Mounsif Tamani is trained at the intersection of pharmacy and computational biology, with a focus on physiological modelling and data-driven systems.

He contributed to the validation of a COVID-19 vaccine and conducted research on the impact of metformin on patient outcomes.

His work focuses on understanding how biological systems and therapeutic interventions alter the signals used by AI models.

Oringin

TamRx Ltd was founded within the Nexus innovation ecosystem in Leeds, United Kingdom.

The company was established to address a critical gap in healthcare AI: the absence of structured evaluation under biological conditions that alter system behaviour.

This includes therapies, disease progression, and complex physiological interactions not represented in standard datasets.

Approch

TamRx provides a structured framework to:

The platform operates entirely on simulation-based environments and does not rely on patient data.

Final Statement

AI systems in healthcare are deployed in environments they were never tested for.

TamRx provides the infrastructure to make that behaviour visible, understandable, and actionable before deployment.