BIOVIA Pipeline Pilot is a graphical science authoring application that optimizes research innovation processes, increases operational efficiency, and reduces research and IT costs. Pipeline Pilot automates the scientific analysis of data, enabling users across the enterprise to quickly explore and visually report research results.
BIOVIA Pipeline Pilot optimizes the research innovation cycle by providing capabilities for scientific analysis (in green) and allowing for the automation and standardization of manual, repetitive data preparation and collation tasks (in blue). This allows scientists and engineers to spend more time applying their skills and knowledge where innovation takes place.

Pipeline Pilot is a professional process customization and information integration platform that can be applied to multiple industries in various scientific fields, including:

• Biomedical industry - academic institutions and companies that develop and manufacture drugs

• Chemical industry - chemical materials research and development and manufacturing enterprises

• Personal consumer goods - cosmetics and other personal consumer products research and development and manufacturing enterprises

• Oil and Gas - Academic structures and enterprises for the extraction and smelting of energy

• Electronics - electronic digital R & D and manufacturing enterprises

• Semiconductors and advanced materials - Academic structures and enterprises for R&D and manufacturing of semiconductors and advanced materials

• Automotive automation - companies that develop and manufacture automobiles and related products

• Aerospace and Defense - Aerospace and defense-related academic structures and enterprises
   

• By leveraging existing research and intellectual property and automating the daily data collection and analysis process, project completion efficiency can be significantly improved.

• Reveal the knowledge hidden in data by rapidly aggregating and processing large amounts of structured and unstructured data from many different research fields in a single environment;

• Encapsulate and deploy best practices to ensure compliance and enable collaboration across R&D organizations;

• Reduce direct research costs by developing discovery models based on predictive science;

• Rapidly build and deploy high-quality scientific solutions based on standard technologies and widely accepted science;

• Improve decision making with better and faster experimental results through real-time reporting dashboards;