Scientific Data Workflow Automation

TetraScience's Scientific Data Workflow Automation is an enterprise-scale platform designed to connect, automate, and streamline the flow of scientific data across the entire lab ecosystem. Built for both scientific IT teams and bench scientists in life sciences organizations, it eliminates the burden of manual data transcription and brittle point-to-point integrations by providing a centralized, trusted data layer that seamlessly links instruments, ELNs, LIMS, LES, and any scientific software.

Rather than investing ongoing effort in building and maintaining custom integrations, IT teams and scientists can leverage a library of hundreds of pre-built workflows, bidirectional integrations, and self-service tools to automate data movement at scale — freeing scientists to focus on science rather than data handling.

Core Capabilities

• Automated data flows: Remove manual data transcription by seamlessly connecting instruments, ELNs, LIMS, LES, and any scientific software through automated pipelines.
• Bidirectional integrations: Move data and results to and from any ELN, LIMS, or LES using Tetra Workflows, replacing fragile point-to-point integrations with robust, productized solutions.
• Centralized data ingestion: Automatically ingest data into a single, trusted source so scientists can access and reuse it in their preferred tools for reporting, analytics, and AI-driven insights.
• Context-aware metadata: Find the right data quickly through metadata-enriched search, enabling seamless data discovery and reuse across the organization.
• Full data lineage: Trace data with complete lineage to ensure data integrity, compliance, and auditability.

Key Platform Tools

• Tetra Data Capture App: Harmonizes readings from instruments, metadata from LIMS, and context from ELNs into a single, analysis-ready dataset. For example, scientists can snap a photo of a balance to automatically capture sample weight and instrument ID.
• Workflow Creation Assistant: An AI-based assistant that helps scientists build and improve scientific data workflows independently, and proactively verifies correct execution of scripts before deployment.
• Visual Pipeline Builder: A no-code and low-code tool for quickly building Tetra Data Pipelines that run automated data operations and transformations, enrich data, and push it to downstream systems.
• Self-service toolkit: Enables IT teams to build and deploy custom parsers, pipelines, and integrations while maintaining full control to scale, extend, and evolve workflows and the platform.

Benefits for Scientific IT Teams

• Stop building bespoke integrations and engineering custom data schemas from scratch.
• Eliminate the ongoing effort of updating, maintaining, and revalidating a plethora of integrations.
• Use pre-built pipelines from the Tetra Workflows library to enable bidirectional integration.
• Leverage low-code and no-code, AI-assisted data schema creation.
• Migrate pre-existing lab data automation workflows to a centralized, cloud-based solution.
• Simplify data architecture with a single data layer supporting multiple ELNs across modalities.

Benefits for Scientists

• Access data and results at their fingertips, eliminating time spent on manual data handling and transfer.
• Ensure data integrity and compliance, reducing transcription errors and the need for second-scientist reviews.
• Optimize data quality through scientist-in-the-loop verification workflows.
• Avoid redoing experiments caused by data entry errors or inconsistencies.
• Spend more time on science rather than data management tasks.

Example Use Cases and Integrations

• Connecting biopharma lab networks to cloud data platforms while meeting enterprise security requirements.
• Integrating chromatography workflows between Empower CDS and Veeva Vault LIMS for seamless data flow.
• Accelerating batch release by eliminating manual transfer of information between scientific instruments and informatics systems.
• Streamlining stability studies with end-to-end data automation, from instrument output to ELN update.

TetraScience's platform supports enterprise deployment with cloud-based infrastructure, audit capabilities that streamline regulatory preparation, and an expanding library of hundreds of integrations and pipelines. The platform is designed to scale across modalities and systems, providing a unified data layer that supports both current workflows and future AI-driven scientific discovery initiatives.