Data Replatforming

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.

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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.

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Shift of the paradigm

Traditional Scientific Data Management

Tetra Scientific Data and AI Cloud

Benefits

On-prem

Cloud-native

Reduce total cost of ownership, provide scalability and support compute intensive workloads for analytics, AI, and ML

Files-based

Engineered data and lakehouse

Obtain scientific insights through large-scale and engineered datasets in multi-modal analysis

End-point oriented and vendor specific

Data centric and vendor agnostic

Avoid data silos and vendor lock-in, build a foundation of AI and analytics with data liquidity

Inline data processing extracting limited information

Event-driven data processing and engineering

Gain efficiency through flexible, customizable on-demand data processing and information extraction

Data and analysis disjointed with manual data movement

Colocated data and applications in a data workspace

Improve scientific productivity with seamless access to data and a growing ecosystem of data applications

Single-company centric

Collaborative and multi-company

Collaborate across the ecosystem of partners with liquid data in a secure manner

Scientific data management as an end state

Foundation and onramp for analytics and AI

Enable analytics and AI while fulfilling immediate connectivity and compliance needs

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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.

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.

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.

Comply

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.

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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.

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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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