Life Sciences


Digital scientific solutions from BIOVIA can position a Life Science organization as an industry leader capable of innovating and accelerating a rich pipeline of product candidates, while also ensuring the highest standards of quality and compliance. By improving end-to-end visibility into predictive outcomes, eliminating barriers to collaboration and leveraging predictive, data-driven decisions, organizations can achieve a more integrated and holistic research experience that transforms biopharmaceutical research, development, quality and manufacturing.

Integrated Compliant Solutions

Life Science organizations can leapfrog the competition by 4-7 years and take the lead in developing high growth, innovative therapeutics and devices by strategically partnering with BIOVIA for:

  • Attrition
  • Pipeline
  • Risk
  • IP
  • Innovation
  • Compliance




Operating Margin


Development Time


Data Traceability

BIOVIA industry capabilities

New agile processes, transformative business models and digital technology are essential for sustainable innovation, growth and operational excellence in Life Sciences. BIOVIA has developed a comprehensive portfolio to help you achieve your goals.

Drive collaboration, innovation and strategize scientific work to develop new therapeutics by leveraging scientifically-aware tools
Unlock scientific innovation for new therapeutics with Artificial Intelligence and Machine Learning for accessing and aggregating data to sophisticated analytics, modeling and reporting
Bring the virtual and real world together to better guide research and development projects and create better performing and more cost effective products.
Increase efficiency and enhance compliance with integrated streamlined and automated lab workflows and harmonized and standardized easy-to-deploy processes
Accelerate new therapeutics innovation and launches by managing product complexity as well as the regulatory requirements for global formulations
Achieve Total Quality and Business Excellence in Life Sciences with a comprehensive data-centric approach to Quality Management
Maximize production process efficiency, reduce costs and control quality, variability and yield of drug products by leveraging process and quality data