Accelerate activity and potency assessment
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
Automatically collect data from plate readers and/or scheduling software
Findable data
Access data centralized in the cloud and contextualized with compound information
AI readiness
Run virtual screens and optimize conditions for HTS assays using AI/ML
Manual data transfer
Manual data aggregation makes workflows inefficient and error-prone
Lack of data access
Inaccessible data complicates the creation of SAR dashboards
Inability to use AI
Low-quality and disparate datasets are inadequate for in silico modeling
Explore resources
Learn how to transform your scientific data into AI-based outcomes.
Centralize your HTS data and increase screening throughput
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.