Accelerate and improve high-throughput screening (HTS)
Discover how to identify higher-quality leads in less time
4x
screening throughput
60% less
time on manual steps
AI-native data
for in silico modeling
Automated processes
Connect all data sources and targets seamlessly, boosting speed and data quality
Centralized data
Find results when and where needed with highly searchable data in the cloud
Ready for AI
Run virtual screens and optimize conditions for HTS assays using AI/ML
Labor-intensive processes
Manual data handling and analysis is slow and error prone
Siloed data
Fragmented data complicates search and analysis
Dead-end datasets
Data is unfit for AI/ML, limiting its value and reuse
Explore resources
Learn how to transform your scientific data into AI-based outcomes.
Unlock the full value of your HTS data
Replatform
Collect and centralize data from instruments and software used in screening
Engineer
Contextualize and harmonize the data for search and analytics/AI
Analytics
Explore screening data with visualization and analytics tools for insights
AI
Use the data to build in silico models and predict how drugs will behave
Powering scientific process automation and workflow management
The clinical-stage biopharmaceutical company Prelude Therapeutics deployed the Tetra Scientific Data and AI Cloud to automate data workflows for high-throughput screening. The elimination of manual steps enabled scientists to focus on higher-value work like gaining insights from the data.