DataHow Joins the Tetra Partner Network

Transforming the development and optimization of bioprocesses using Tetra data

Published: Tuesday, September 12, 2023 - 10:59

(TetraScience: Boston) -- TetraScience, the scientific data cloud company, announced a partnership with DataHow, a provider of a digital bioprocess development platform, to help customers transform bioprocess design and optimization using Tetra Data—the life science industry’s only AI-ready scientific data.

“DataHow facilitates bioprocess design and optimization with self-learning and hybrid models, transfer learning, and digital twins,” says Alan Millar, vice president of Tetra Partner Network. “These technologies must be fueled by large volumes of contextualized and harmonized scientific data. By combining DataHow’s capabilities with AI-ready Tetra Data, we can transform the development and optimization of bioprocesses.”

DataHow’s customers include 12 of the top 20 global pharmaceutical companies. Its platform, DataHowLab, addresses the key operational challenges in biopharma process development: time, resources, risk, and manufacturing downtime, as well as the productivity of teams. DataHowLab accelerates process design and development through sophisticated data analytics that produce better insights for faster decision making. Their digital-twin capabilities enable bioprocess engineers to simulate change variables, generate predictions, and dramatically improve the design space. Through model-based process development, DataHowLab reduces experiments by as much as 60% in Phase 1 and 2 screening, as well as in Phase 2 study optimization with CDMOs (contract development manufacturing organizations).

The Tetra Scientific Data Cloud is a cloud-native platform purpose-built for science that engineers scientific data into an open, vendor-agnostic, AI-ready format: Tetra Data. The partnership with DataHow will help customers fuel bioprocess models with much larger volumes of contextualized and harmonized data (Tetra Data), enabling automatic learning from new data and driving efficiencies across multiple products and/or process features.

“We are delighted to partner with TetraScience, whose ability to replatform and engineer scientific data for AI provides essential building blocks for scientific AI/ML and the adoption of digital twins,” says Moritz von Stosch, chief innovation officer, DataHow. “Our partnership will help bioprocess engineers make significant strides in process optimization as well as knowledge and tech transfer that can be used for subsequent experiments.”

“Scientific data must undergo a very precise and sequential engineering process in order to yield data sets capable of being effectively exploited by AI,” says Patrick Grady, TetraScience chairman and CEO. “The Tetra Scientific Data Cloud is capable of producing fundamental breakthroughs derived from the large scale, organized scientific data necessary to fuel AI. We welcome DataHow to the Tetra Partner Network so that our combined expertise can enable data-driven decision making to exponentially accelerate and improve scientific outcomes.”

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