Gubbs Joins the Tetra Partner Network to Increase and Enhance Data Processing Throughput

TetraScience, the Scientific Data Cloud company, announced that Gubbs, a leader in lab optimization and validation software, has joined the Tetra Partner Network to increase and enhance data processing throughput with the Tetra Scientific Data Cloud .

“Gubbs is dedicated to providing class-leading software to the biotech and pharma industries,” said Simon Meffan-Main Ph.D., VP, Tetra Partner Network. “Their expertise in data automation has led to products like the Gubbs Mass Spec Utilities (GMSU), which, when combined with the Tetra Data Platform, will directly increase the productivity of our common customer’s high throughput labs.”

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Specializing in developing software for ADME / DMPK discovery labs, as well as compliant solutions for FDA-regulated bioanalytical laboratories, Gubbs products are designed to streamline laboratory operations and data processing.

Tetra Data is compliant, actionable, and engineered to include raw, primary scientific data and metadata enrichment. Gubbs customers can take advantage of Tetra Data, expanding the types of source data and increasing accessibility to data for better and faster analysis. Together, Gubbs and TetraScience help customers get the full value of their scientific data to accelerate drug development.

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“We are excited to join the Tetra Partner Network so customers can benefit from the increased data processing throughput with GMSU and the Tetra Data Platform,” said Larry Elvebak, Founder and CEO, Gubbs. “Our partnership will help customers eliminate manual aspects of laboratory management and reach scientific insights faster.”

“We applaud Gubbs’s leadership in championing the necessity of an open ecosystem where data moves unrestrictedly in laboratories throughout the pharma pipeline,” says Patrick Grady, Chairman and CEO of TetraScience. “We welcome them to the Tetra Partner Network and look forward to accelerating the delivery of life-enhancing and life-saving therapeutics.”

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