At Admescope, our commitment to excellence revolves around a robust Quality Management System (QMS) that serves as the cornerstone for realizing our vision, mission, and core values. Crafted specifically for our non-regulated research environment, our QMS is intricately designed to understand and address the diverse needs and expectations of all stakeholders involved.

Our operations are steeped in social responsibility, demonstrating unwavering compliance with not only the requirements, laws, regulations, and ordinances set forth by governing bodies but also the ethical considerations governing our personnel policies and research operations.

The hallmark of our service lies in its top-notch quality and unwavering reliability. We achieve this through a fusion of technically advanced and scientifically rigorous experimental methodologies, a team of highly qualified personnel, and seamless, rapid, and precise communication channels. We prioritize meticulous on-boarding, comprehensive training, and the detailed documentation of our study processes and method development to ensure excellence in practice.

In our day-to-day operations, adherence to Standard Operating Procedures (SOPs) and study-specific instructions, when applicable, is paramount. We always apply control compounds, complete comprehensive checklists, and maintain a continual inventory of necessary equipment resources.

In the event of unforeseen circumstances, we diligently register any deviations encountered, transforming them into valuable learning experiences. Additionally, our pursuit of continuous enhancement is bolstered by regular internal audits, serving as a critical driver for perpetual improvement.

Quality Control (QC) forms an inherent part of every study we undertake, guaranteeing an unparalleled level of quality. Furthermore, to provide an extra layer of quality assurance, our Quality Manager can conduct supplementary QC checks to ensure the accuracy of described methods and the seamless incorporation of study results reflecting the raw data produced.

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