Optimize CxO collaboration
Discover how to drive superior collaboration with contract organizations
480x
faster data preparation and analysis
4,000 hours
per year reallocated
AI-native data
for predictive modeling
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 processes
Gather and standardize data automatically, boosting speed and data quality
Centralized, enriched data
Access results immediately with highly searchable data in the cloud
Ready for AI
Use advanced analytics and AI to improve R&D, QA/QC, and manufacturing
Labor-intensive processes
Manual cleansing and handling of heterogeneous data is slow and error prone
Lack of context
Without metadata, CxO data is difficult to find and analyze
Dead-end data sets
Data architecture 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 CxO data
Replatform
Aggregate heterogeneous CxO data in the cloud
Engineer
Contextualize and harmonize the data for search and analytics/AI
Analytics
Explore data with visualization and analytics tools for insights
AI
Use AI/ML to predict drug performance or optimize downstream processes
Automated, harmonized CRO data drives cost-effective collaboration
Discover how TetraScience streamlined CRO data exchange for two clinical-stage biopharma companies. The solution saved time, reduced complexity, and accelerated insights.