Produce high-quality mRNA therapies faster
Discover how to accelerate mRNA synthesis and quality control (QC) through automated data workflows
80%
time savings by eliminating bottlenecks
Increased throughput
by streamlining method development
DoE-enabled
method optimization
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Automated data collection
Automatically ingest method, raw, and processed data from ELNs and instruments, saving time and reducing errors
Near-real time status
Get accurate and up-to-date workflow status in near real-time with continuous ELN updates
Faster image analysis
Streamline data transformation for DoE-enabled method optimization, maximizing RNA quality and yield
Manual data aggregation
Manual data handling and plate map creation delay analysis and may introduce errors
Error-prone batch updates
Frequent, manual batch updates to the ELN increase the risk of data loss and rework
Datasets unfit for AI
Incomplete and inconsistent datasets are unsuitable for AI/ML workflows
Explore resources
Learn how to transform your scientific data into AI-based outcomes.
Ensure high efficacy, safety, and yield in mRNA synthesis
Replatform
Automate data capture from analytical instruments and liquid handlers to streamline workflows
Engineer
Harmonize raw data for multiple QC tests with automated processing pipelines
Analytics
Decrease time spent on visualizing and analyzing data to identify optimal experimental conditions
AI
Optimize DNA amplification and RNA purification for higher yield and quality with AI-driven insights
Driving high-impact scientific outcomes with Tetra Catalysts
A core facility at a leading biopharma faced complex data challenges. See how Tetra Catalysts delivered impactful outcomes with a science-led approach, leveraging the Tetra Scientific Data and AI Cloud, deep domain expertise, and an extensive library of scientific use cases and supporting resources.