An Intelligible Workflow Spin Focused on Kicking Out All the Delays Affecting Scientific Discoveries

TetraScience, the Scientific Data and AI Cloud company, has officially announced the launch of Tetra Workflows, which happens to be a comprehensive solution capable of transforming how laboratories manage and automate scientific data workflows at scale. 

According to certain reports, this particular solution arrives on the scene bearing an ability to leverage TetraScience’s next-generation Scientific Data Management System (SDMS), and therefore, address a critical challenge for life sciences companies i.e. eliminating the manual, error-prone processes that delay critical discoveries and slow time to clinic. 

To understand the significance of such a development, we must take into account how scientists across pharmaceutical, biotechnology, and life sciences organizations currently waste up to 40% of their time on manual data movement between instruments, electronic lab notebooks (ELNs), laboratory information management systems (LIMSs), and laboratory execution systems (LESs). 

Such a manual approach, like you can guess, really goes the distance to cause errors and discovery delays that directly impact scientific outcomes.

Against the given conundrum, Tetra Workflows makes it possible for laboratories to orchestrate and automate data workflows, right from instruments to lab informatics software. The platform further covers entire journey of scientific data, including initial collection and input through storage, analysis, and reporting, ensuring data quality, reliability, consistency, traceability, and efficiency throughout the process.

Talk about the whole value proposition on a slightly deeper level, we begin from the availability of a Workflow Creation Assistant, which uses AI to enable intelligent workflow creation and empower both IT professionals and scientists in the context of mapping engineered data to LIMS or ELN systems without complex scripting. 

This revolutionary capability should deliver 40% faster creation of custom integrations.

 The Workflow Creation Assistant can even democratize the ability to create sophisticated data workflows, as well as make scientists self-sufficient when it comes to building their own automated processes.

Next up, we have a visual pipeline builder coming into play, focused on helping users quickly build automated data operations and transformations through a graphical interface. Users can also seamlessly deploy new pipelines directly from the application to reach upon 100% faster development of custom multi-step pipelines and new types of integrations. 

A visual approach of this sort will essentially eliminate the need for specialized programming knowledge, while simultaneously maintaining enterprise-grade functionality and reliability.

Another detail worth a mention is rooted in the Tetra Data Capture app. The stated app is geared towards capturing data from simple instruments like balances and pH meters that lack export capabilities to bridge a gap in laboratory digitization.

You see, the solution in question automatically uploads results to the correct records and combines them with metadata into analysis-ready datasets. The idea here stems from ensuring that no data is lost in the digitization process, as well as facilitating comprehensive workflow automation across all laboratory instruments.

Then, there is a library of proven recipes, recipes that effectively bundle proven pipelines and automations for common use cases. On top of that, they also enable rapid deployment or customization to let organizations bank upon the collective experience of the scientific community rather than building everything from scratch. 

At launch, the stated library covers integrations with leading systems including Benchling, Revvity Signals, IDBS, Veeva Vault LIMS, and hundreds of other scientific instruments.

Among other things, it ought to be acknowledged that Tetra Workflows arrives bearing a host of key USPs, including deep understanding of scientific file formats, instrument protocols, and laboratory workflows; built-in support for GxP, 21 CFR Part 1; pre-built connectors for hundreds of scientific instruments systems; and seamless bidirectional data movement to and from any ELN, LIMS, or LES system.

 In fact, early adopters of Tetra Workflows were able to achieve 90% reduction in implementation time, 40% increase in lab productivity, 75% reduction in error rates, and 60% fewer steps in scientific workflows.

“Scientists should be focused on science, not wrestling with data management,” said Simon Meffan-Main, General Manager at TetraScience. “Tetra Workflows transforms how labs handle data by automating the entire journey from initial collection to seamless access through any ELN, LIMS, or LES, enabling scientists to focus on what they do best: advancing human health through breakthrough discoveries.