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Powered by the 3DEXPERIENCE® platform, BIOVIA™ provides global, collaborative product lifecycle experiences to transform scientific innovation

BIOVIA

BIOVIA solutions create an unmatched scientific management environment that can help science-based organizations create and connect biological, chemical and material innovations to improve the way we live.

BIOVIA is committed to enhancing and speeding innovation, increasing productivity, improving quality and compliance, reducing costs and accelerating product development for customers in multiple industries.

Molecular Modeling and Simulation

Modeling & Simulation provides a snapshot of the fundamental atomic interactions supporting product performance. In silico testing allows researchers to test concepts with minimum risk and lower costs, unlocking new avenues of ideas to explore. By tying the virtual and real worlds together, researchers can better guide their projects with virtual tests guiding physical ones and vice-versa. As a result, teams are able to create better performing, safer and cost-effective products, leading to improved patient outcomes.

Biopharma Quality and Compliance

Quality is essential for patient safety, treatment efficacy, sustainability and protection of brand reputation. Dassault Systèmes helps organizations achieve Quality and Business Excellence with a new and comprehensive data-centric approach to Quality that supports patient safety, treatment efficacy, sustainability and protection of brand reputation—all based on digital continuity, data integrity and a “Single Source of Truth.” Integrated capabilities include Quality Document and Content Management including automated tasks, electronic signatures, standardized processes, audit trails and Quality Process Management (e.g., CAPA investigations or root-cause analysis).

Data Science

Organizations need a scalable framework to create, validate, and consume data science workflows. From accessing and aggregating data to sophisticated analytics, modeling and reporting, automating these processes allows novice users to get the most of their data while freeing up expert users to focus on more value-added tasks. Utilizing a common framework also ensures best practices are captured and shared enterprise-wide. Democratizing data science helps teams do more with less and unlock the innovations that today’s businesses need to survive and thrive.

Formulations Design

Organizations that manufacture formula-based products must ensure regulatory compliance globally and efficiently manage the complete lifecycle from idea to label. By facilitating the management of product complexity as well as the regulatory requirements for global formulations, BIOVIA’s solution for Formulations Design and Management helps to improve productivity, manage costs and speed products to market.

Laboratory Informatics

The solution is to remove disconnected and paper-based processes that are error-prone and hamper access of relevant data throughout the research, development and manufacturing lifecycle. It is imperative to make decisions as early as possible in the lifecycle, in order to drive innovation and to optimize processes and products. Digital Laboratory Informatics capabilities allow for streamlined and more efficient lab workflows, harmonization and standardization and a fully integrated and automated easy-to-deploy process.

Manufacturing Analytics

BIOVIA provides process development, quality, and manufacturing users with self-service, on-demand access to process and quality data from disparate databases and paper records. It automatically aggregates and contextualizes the data and enables ad-hoc statistical investigations. The discipline supports three major areas that empower production operations, shorten time to market, and maximize profitability. It helps improve process design by understanding the critical process parameters, increase process performance by monitoring variability enabling preemptive action and drive process improvement by understanding and control process and product variability.

Scientific Informatics

Leveraging a common framework for managing scientific content helps facilitate an environment of collaboration across internal and external R&D networks. Researchers can easily aggregate, process and analyze data while rapidly sharing and discussing results. Scientifically-aware tools also help guarantee that researchers have the capabilities they need to explore their data more deeply. Together, such an environment facilitates innovation and helps researchers guide their work via data-driven decisions.