Turning preclinical data into trustworthy insights.

Data management is crucial for results coming from preclinical studies. It assist with improved decision-making, improve data quality, reduce costs, comply with regulations and improve performance. Important aspects of Data management is writing a plan, data review and data transfer.

Biostatistics: our biostatistician will help with power calculation (if necessary), statistical analysis plan, writing statistical reports, and provide other statistical input.

Why Data Management & Biostatistics Matters

Accurate data management and statistical analysis ensure regulatory compliance and reduce the risk of flawed conclusions, saving time and costs.

Our Service

What we deliver:

• Standarized data collection and validation
• Advanced biostatistical analysis
• Improved decision-making and efficiency
• GLP/GCP-compliant reporting

Our support ensures that your study data is accurate, reliable, and transformed into actionable insights.

How We Work 

Our team supports you in structuring, analyzing, and interpreting study data, enabling robus decision-making throughout development.

Contact Form

Have questions about our data services – statistical planning, analysis, data validation or want to discuss how we can support your preclinical project? Fill in the form below and our team will get back to you within 1-2 business days.