Pre-clinical Support for Drug & Product Development

Expert planning, PK/PD modelling, and translational strategies to accelerate your pipeline
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From Discovery to Clinic

Preclinical support is critical for reducing risk and improving success rates in clinical phases. Our services bridge the gap between discovery and clinical trials, ensuring data-driven decisions and regulatory alignment. We emphasise translational biomarkers and advanced modelling to optimise development strategies and accelerate timelines, and have our own clinical pharmacology units to take you to First-in-Human.

Our Services

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Why It Matters

Preclinical planning and modelling provide a strong foundation for clinical success. By leveraging PK/PD and translational modelling, we help predict outcomes, and reduce late-stage failures. Translational biomarkers serve as critical indicators, bridging preclinical insights to clinical applications, serving go/no go decisions.

Compliance & Expertise

Our workflows align with global regulatory expectations and utilise advanced modelling tools. We ensure that all strategies are scientifically robust and compliant with industry standards, supporting smooth transitions from preclinical to clinical phases. Our unique solution gives you one team from consulting, biostatistics, and science working together on your challenges.

FAQ

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Our preclinical services are designed to support early drug development by generating high‑quality pharmacokinetic (PK), pharmacodynamic (PD), and translational data. We help sponsors understand compound behaviour optimise dose selection, and inform progression into clinical studies.
We focus on generating robust, biologically relevant preclinical data that can inform clinical study design. By integrating PK/PD insights and biomarker data, we help reduce development risk and support confident decision‑making when transitioning from preclinical to first‑in‑human studies.
Yes. Our preclinical services can be seamlessly integrated with our wider laboratory, bioanalysis, and clinical operations. This integrated approach enables efficient data flow, reduced timelines, and a consistent scientific narrative across the development pathway.

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