Fast-track selection of high-performing clones
Discover how to predict long-term stability and productivity to identify optimal lead clones
5x
faster lead clone selection
50%
time savings with data automation
Lower risk
of late-stage failures
The Rise of Sciborgs: Transforming How Science Gets Done
Introducing our new series: Sciborg™ Sessions. See how Sciborgs are fundamentally changing how science gets done.
Tune in live on LinkedIn:
February 27th | 11am ET
Automated data handling
Automate data collection and processing to make data more consistent and reliable and free scientists to focus on analysis and decision-making
Enhanced scientific efficiency
Streamline troubleshooting and prevent rework with clear data lineage and meaningful contextual information
AI-ready datasets
Transform data automatically to support AI/ML workflows for method optimization, maximizing RNA quality and yield
Manual data handling
Manually consolidating siloed data from multiple instruments is a slow and error-prone process
Workflow inefficiencies
Analytical data lacking lineage and contextual metadata, such as experimental conditions, complicates troubleshooting and often leads to repeat experiments
Limited insights
Using basic statistical tools and manual interpretation makes it challenging to identify subtle trends or correlations
Explore resources
Learn how to transform your scientific data into AI-based outcomes.
Boost lead clone selection with AI-ready data
Replatform
Automatically centralize method information and analytical data to increase efficiency and consistency and reduce errors
Engineer
Automate data processing workflows, including harmonization, normalization, and outlier detection, to create analytics- and AI-ready datasets
Analytics
Automate statistical analysis of harmonized process and assay data for faster, more accurate insights
AI
Speed up the identification of optimal clones and shorten development timelines with predictive ML models and continuous learning
Lead Clone Selection Assistant
The Tetra Lead Clone Selection Assistant can predict the most promising lead clones in silico, enabling faster and better decisions. As a result, it has the potential to shorten lead clone selection from five months to just one month.