BIOVIA

BIOVIA's scientific software is used to create a unified, collaborative environment for scientific and data-driven organizations, particularly in the life sciences, materials science, and chemicals. Its main purpose is to accelerate innovation by integrating the entire product development lifecycle, from initial research and development to quality assurance and manufacturing.

Key Uses and Applications

BIOVIA leverages the power of Scientific AI across its solutions, integrating cutting-edge AI technologies, including generative AI and large language models (LLMs), to deliver actionable insights and faster outcomes. This allows for a more streamlined, efficient, and collaborative approach to innovation.

• Laboratory Informatics: Solutions like BIOVIA ONE Lab help to digitize and manage lab processes. They function as a comprehensive suite that includes all the functionalities of a LIMS, but with advanced features like guided procedure execution, ELNs, and seamless integration with AI-powered analytics. Generative AI is used in the lab to automate documentation, summarize experimental write-ups, and even suggest pre-written procedures.
• Modeling, Simulation, and Generative Design: BIOVIA provides powerful in-silico (computer-based) tools for modeling and simulating the properties and behaviors of biological, chemical, and materials systems. This allows researchers to test hypotheses and design new products virtually, significantly reducing the need for costly and time-consuming physical experiments. Generative AI is particularly impactful here, as it can be used to:
  • Accelerate Molecular Discovery: Generate novel molecules and optimize new leads for faster development with BIOVIA Generative Therapeutics Design, and BIOVIA Discovery Studio.
  • Design New Materials: Create and optimize new materials and processes for more sustainable products with BIOVIA Materials Studio.
• Data Management and Analysis: BIOVIA provides tools to capture, manage, and analyze scientific data from various sources. It helps scientists transform raw data into actionable insights and includes applications for data science and machine learning. A key feature is the use of Virtual Advisors—AI-powered assistants that provide instant expertise to guide formulation design, molecular modeling, and lab experimentation. These customizable advisors can be trained on a company's proprietary datasets, offering tailored guidance to scientists throughout their workflows.
• Quality and Compliance: BIOVIA solutions helps organizations in highly regulated industries, like biopharma, to ensure product quality and safety throughout the product lifecycle. BIOVIA's solutions help move from a document-centric to a data-centric approach, using AI-powered tools to manage quality and ensure compliance.

By integrating these functionalities on a single platform, BIOVIA aims to break down the silos between scientific disciplines and departments, enabling a "single source of truth" for all data and processes. 

BIOVIA Discovery Studio offers a free visualizer version that allows viewing and basic analysis of molecular structures. However, the full version with advanced features requires a paid license, even for academic users. Academic institutions can access discounted licensing options and may qualify for special academic pricing when using institutional email addresses. Contact us directly for specific academic licensing details and pricing.

While BIOVIA offers LIMS (Laboratory Information Management System) capabilities with ONE Lab LIMS, it's more accurate to say that BIOVIA ONE Lab is a comprehensive suite that goes beyond a traditional LIMS. 🔬

A LIMS primarily manages laboratory data, samples, and workflows. BIOVIA ONE Lab, however, incorporates all these core LIMS functionalities and expands upon them significantly. It also includes:

• Guided Procedure Execution: Standardizes and enforces experimental protocols, reducing errors and ensuring consistency.
• Instrument and Inventory Management: Tracks and manages laboratory equipment and materials, optimizing their use and availability.
• Electronic Lab Notebook (ELN): Provides a digital record-keeping system for experiments, data, and observations.

Furthermore, ONE Lab is designed to integrate seamlessly with other powerful tools within the BIOVIA portfolio, such as Insight for advanced analytics, Formulation Design for AI-powered formulation management, Pipeline Pilot for machine learning and data science, and BIOVIA Scientific AI for deeper scientific insights. This interconnected ecosystem allows for a more holistic approach to scientific research and development, providing a single environment for data, processes, and collaboration.

BIOVIA, a brand of Dassault Systèmes, is a company that provides a scientific collaborative environment for industries focused on biology, chemistry, and materials science. Its software solutions manage the entire product development lifecycle, from the initial idea to the final product.

The "Molecule to Manufacturing" Approach

BIOVIA's core mission is to bridge the virtual and real worlds of science and innovation. This is accomplished through a concept known as the Virtual Twin Experience. A Virtual Twin is a sophisticated digital replica of a product, process, or system that goes beyond a simple model. It can simulate and predict real-world behavior, allowing scientists to test hypotheses and design new products in a virtual environment before costly and time-consuming physical experiments. This is also related to the "lab in the loop" concept, where virtual models inform real-world experiments, and the resulting data is used to refine the virtual twin.

This seamless connection from "molecule to manufacturing" is a cornerstone of BIOVIA's portfolio, integrating all aspects of the product lifecycle—from research and development to quality assurance and manufacturing—onto a single platform.

Leveraging Scientific AI

At the heart of BIOVIA's platform is Scientific AI, a specialized form of artificial intelligence that understands the complexities of scientific data and processes. Unlike general-purpose AI, Scientific AI is designed to assist scientists with tasks that require deep domain knowledge. This includes:

• Generative AI for creating novel molecular structures or materials with desired properties.
• Virtual Advisors that act as AI-powered assistants, providing instant expertise and guidance on everything from formulation design to experimental execution.

These technologies enable organizations to accelerate discovery, optimize experiments, and increase efficiency across all scientific disciplines.

Disciplines

BIOVIA's solutions are built to serve a wide range of scientific disciplines, providing integrated tools that break down traditional silos.

• Biosciences: Solutions for life sciences research and development, including molecular modeling and simulation for drug discovery, as well as biotherapeutic and biomanufacturing processes.
• Laboratory Informatics: A unified environment for managing all lab workflows, data, and resources, from electronic lab notebooks (ELNs) to lab execution systems (LES) and instrument data management.
• Materials Science & Engineering: Tools for in-silico (computer-based) design and simulation, allowing researchers to predict and understand the properties and behavior of new materials at the atomic and molecular levels.
• Regulatory Management: Solutions that help organizations manage and control documents, standard operating procedures (SOPs), and regulatory submissions to ensure compliance with global standards.
• Scientific Informatics: Tools that transform diverse scientific data (such as cheminformatics, genomics, and proteomics) into actionable knowledge, supporting data-driven decisions and research collaboration.
• Quality Management: An end-to-end, data-centric approach to quality assurance that helps ensure product safety and compliance. This includes management of quality events like deviations and corrective and preventative actions (CAPAs).

By integrating these disciplines and harnessing the power of a Virtual Twin Experience, BIOVIA helps companies accelerate innovation, reduce costs, and deliver superior products to market faster.

Yes, BIOVIA offers a wide range of training programs to help users maximize their software investment. These programs are available in different formats to accommodate various learning preferences and schedules.

Training Formats & Offerings

• e-Learning: This option includes self-paced, online modules and video tutorials, allowing users to learn at their convenience.
• Instructor-Led Training: You can participate in live, remote online courses or traditional in-person classroom sessions. These courses are led by certified instructors and often include hands-on exercises.
• Comprehensive Course Catalogs: BIOVIA provides extensive training for its various products, including BIOVIA ONE Lab, Pipeline Pilot, Materials Studio, and others. The courses are designed for all levels, from beginners to advanced users.
• Certification: Dassault Systèmes offers professional certifications to validate a user's proficiency with the software, which can be a valuable asset for career development. 

This training is aimed at professionals, students, and academic institutions to ensure they have the necessary skills to effectively use BIOVIA solutions.

BIOVIA's portfolio includes the capabilities of scientific data management software, but it moves beyond this paradigm to capture the knowledge and context of product development and commercialization across the entire product lifecycle.

Instead of just managing data, BIOVIA's integrated solutions create a "single source of truth" that connects all aspects of scientific discovery and development—from the initial research phase to the final manufacturing and quality control stages. This allows organizations to not only store and access their data, but also to understand the full context and history of a product.

Key components that enable this holistic approach include:

• A Unified Laboratory Environment: BIOVIA ONE Lab goes beyond traditional LIMS to digitize and manage all lab operations, including instrument data, ELNs, and sample management. This ensures that all experimental data is captured with its full context from the source.
• Scientific Informatics: This discipline transforms raw scientific data (like chemical structures or genomics data) into actionable knowledge, making it easy to search, analyze, and share information across teams.
• Modeling & Simulation: By using Virtual Twin Experiences, scientists can predict the behavior of a product or process in a virtual environment. This data is then used to inform real-world experiments in a "lab in the loop" cycle, creating a continuous feedback loop that generates new data and knowledge.

By bridging the virtual and real worlds, BIOVIA's solutions help organizations build a rich repository of scientific knowledge that accelerates innovation, improves productivity, and maintains compliance throughout the entire product lifecycle.