Develop robust analytical methods faster
Discover how to optimize analytical methods more efficiently
2–3x
faster method development
Thousands of hours
per year repurposed
AI-native data
for predictive modeling
Centralized data
Easily access and combine data from different experiments and DoE runs
Harmonized data
Visualize and compare data and results for methods from different instruments, such as CDSs, to identify performance trends
Automated data correlation
Associate method conditions with instrument/method performance and product robustness automatically
Manual data transfer
Manually moving and compiling data slows down method development
Cumbersome comparison
Vendor-proprietary formats make data comparison for method optimization difficult
Difficult data correlation
Linking method conditions with instrument/method performance and product robustness is tedious
Explore resources
Learn how to transform your scientific data into AI-based outcomes.
Leverage your instrument data to optimize analytical methods
Replatform
Collect and centralize data and results from all measurements, regardless of instrument or vendor
Engineer
Harmonize data for visualization and comparison
Analytics
Gain insights with analytics tools to identify trends and parameter correlation
AI
Use AI/ML to predict optimal conditions, slashing development time
Liquid chromatography meets liquid data
See how the Tetra Scientific Data and AI Cloud helps derive more value from chromatography data. With a system suitability dashboard powered by the platform, you can quickly identify instrument issues and avoid misleading experimental results.