Monday, August 18, 2025

TetraScience Launches Tetra Workflows: Automating Scientific Data Processes at Global Scale

TetraScience, a leader in the Scientific Data & AI Cloud, has announced the launch of Tetra Workflows – a comprehensive solution to automate scientific data processes. The goal: eliminate manual, error-prone steps that slow down discoveries and clinical progress.

Today, scientists spend up to 40% of their time manually transferring data between lab instruments, ELNs, LIMS, and LES systems. This not only delays progress but also increases the risk of errors.

“Scientists should be focused on science, not wrestling with data management,” said Simon Meffan-Main, General Manager at TetraScience. Tetra Workflows addresses this challenge by automating the entire data journey – from capture to integration with laboratory informatics systems.

Four Core Innovations:

• AI-Powered Workflow Creation Assistant: Enables intelligent workflow creation 40% faster, with proactive anomaly and error detection.
• Visual Pipeline Builder: No-code/low-code tools for rapid development of multi-step pipelines – twice as fast as traditional methods.
• Tetra Data Capture App: Digitizes data from simple instruments without export functionality.
• Library of Proven Recipes: Hundreds of preconfigured workflows and automations for faster deployment.

Transformative Results

Early adopters report:

• 90% shorter implementation time
• 40% productivity increase
• 75% fewer errors
• 60% fewer workflow steps

Unlike generic middleware, Tetra Workflows is purpose-built for the unique challenges of scientific data management – including regulatory compliance (GxP, 21 CFR Part 11) and compatibility with hundreds of lab instruments.

The platform benefits both scientists and IT: researchers gain time for actual science, while IT teams reduce maintenance burden through a scalable, stable integration framework.

Tetra Workflows is available immediately to all existing customers at no additional cost – underlining TetraScience’s mission to accelerate discovery through intelligent automation.