Collect, centralize, and contextualize all your scientific data
Take the first, essential steps in your scientific AI journey. Automatically assemble and move your scientific data into a centralized, purpose-built cloud and automate the data flow to any applications of your choice. All with the Tetra Scientific Data and AI Cloud.
The paradigm shift in scientific data management
The Tetra Scientific Data and AI Cloud provides you with all the core functionalities you need from traditional Scientific Data Management System (SDMS)—and more. It transforms your data into the atomic building blocks for Scientific AI: AI-native Tetra Data.
Solve your immediate need for lab connectivity and data management today and build the foundation to Scientific AI with a paradigm shift in scientific data management and analysis.
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
Benefits of Tetra Scientific Data and AI Cloud vs. Traditional SDMS
Reduce total cost of ownership, provide scalability and support compute intensive workloads for analytics, AI, and ML
Obtain scientific insights through large-scale and engineered datasets in multi-modal analysis
Avoid data silos and vendor lock-in, build a foundation of AI and analytics with data liquidity
Gain efficiency through flexible, customizable on-demand data processing and information extraction
Improve scientific productivity with seamless access to data and a growing ecosystem of data applications
Collaborate across the ecosystem of partners with liquid data in a secure manner
Enable analytics and AI while fulfilling immediate connectivity and compliance needs
Automate your scientific data assembly in the cloud
Collect
Automate the collection of data from scientific instruments, informatics applications, analysis software, and partners.
Leverage industrialized integrations for a growing set of data sources and targets.
Avoid a time-and resource-consuming do-it-yourself approach.
Contextualize
Automatically extract essential metadata and enrich your scientific data.
Use scientifically relevant metadata to easily search and retrieve your data.
Enable meaningful analytics and AI.
Centralize
Eliminate inaccessible data silos and assemble large-scale datasets.
Replatform your scientific data into a centralized, single source of truth.
Publish data directly to data consumers and easily reuse it for gaining insights.
Data analytics
Ensure high data quality, maintain data integrity and traceability.
Streamline efforts to comply with regulations like 21 CFR Part 11 and adhere to GxP guidelines.
Use automation capabilities, validated and proven integrations, and extensive documentation.
Automate scientific workflows
Remove erroneous manual transcription, tedious data manipulation, and laborious data verification and review. Automate common scientific workflows while improving compliance and data integrity.
Design-make-test-analyze, all your scientific data replatformed
You are producing important scientific data at each step of your scientific research process. Collect the data produced during each and every step of the design-make-test-analyze (DMTA) cycle with the Tetra Scientific Data and AI Cloud.
Link your data related to measurements, context, methods, and analysis, and prepare it for analytics and AI.
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Most sophisticated and fastest growing library of integrations
Select examples of informatics application integrations
Select examples of instrument integrations
AGU Sm@rtLine Data Cockpit (SDC)
Beckman Coulter Vi-CELL Cell Counter
Beckman Coulter CytoFlex
BMG LABTECH microplate readers
Cytiva UNICORN
HighRes Biosolutions Cellario
