Achieving End-to-End Automation
How can you accelerate biopharma R&D processes to save time and cut costs? The key is not only to automate experiment execution, but also the repetitive, manual, and time-consuming tasks around data analysis, management, and decision-making, so your experts can focus on the science. However, integrating lab automation systems and instruments to automate daily operations as well as data import, processing, and interpretation is challenging.
This is where Genedata comes in.
Centralize Workflows. Do More.
- Eliminates laborious manual data processing, analysis, and aggregation steps—even for sophisticated technologies such as next-generation sequencing, high-content screening, and mass spectrometry—via ready-to-go analysis templates and built-in logic
- Facilitates scaling up of experimental work and increased throughput, enabling screening and engineering of more molecules, processing of more samples, and assessment of more experimental parameters
- Harmonizes analysis and enforces best-practices across the organization with lock-and-share workflows and wizard-style playbooks
- Streamlines tracking of all sample metadata for complex workflows such as molecular design, biologics production, or translational and clinical research
- Provides simple and automatic data reporting and sharing options
Maximize Automation Investments
- Seamlessly integrates with lab automation equipment, such as robotic and liquid handling systems, through transparent and flexible IT interfaces (e.g., RESTful web services), open APIs, and partnerships with automation providers
- Supports fully barcoded processes end-to-end, eliminating laborious and error-prone manual handling of sample labeling information
- Monitors and analyzes raw data coming from instruments and provides real-time progress updates and reports to key stakeholders
- Decreases downtime and maximizes efficiency with unattended data processing and validation sessions using pre-defined templates and quality control settings
Increase Competitiveness
- Allows scientists to focus on strategic, data-driven decisions and value-added activities, instead of time-consuming manual tasks
- Provides built-in data management functionalities required for regulatory compliance and in accordance with ever evolving automation best practices
- Supports operational excellence and efficient resource planning, e.g., by digital tracking of internal and external requests and material handovers
- Improves data integrity and security by reducing opportunities for human error introduced in manual data transfer or during data analysis
- Enables continuous process flow, extending hours of operation and shortening the turnaround time for analysis, which increases long-term competitiveness
Save Time. Cut Costs.
Accelerate Biopharma R&D Processes.
Enabling Our Customers to Achieve End-to-End Automation
End-to-End Analysis Workflow for MS Screening
Learn how AstraZeneca built an end-to-end HT-MS analysis workflow by integrating two Genedata platforms - an MS analysis platform with an in-vitro screening platform.
Automating Data Management at Sartorius
Discover Sartorius' robust CLD platform, which combines flexible automation technologies with digital data management and enables faster development of new biotherapeutics.
End-to-End Assay Automation at Roche
Read how Roche achieved end-to-end automation, including data analysis, which saved significant time and improved data quality.
Automating RT-qPCR Analysis for RNA Discovery
Find out how Evotec streamlined data processing from RNA Drug Discovery experiments by seamlessly integrating standard HTS data analysis processes.
Automating Lab Operations at Kymab
See how Kymab implemented fully automated high-throughput B-cell selection and screening robotics to manage sample and microtiter plate information and capture assay data in a fully automated manner.
Enabling HT Screening at Sygnature
Read how Sygnature Discovery implemented HTS screening to provide a more comprehensive integrated hit-discovery platform that enhances successful early drug discovery.