Novolyze Named Global Leader in Cloud Computing

WASHINGTON, D.C. — Novolyze, a company specializing in food safety solutions and quality digitization technology, announced that the Business Intelligence Group has awarded the company a 2023 Stratus Award for Cloud Computing in its annual business award program. The Business Intelligence Group said it sought to identify companies, products and people offering unique solutions that take advantage of cloud technologies.

“Novolyze is one of the leaders in the cloud, helping to develop the infrastructure we need to store and host the data and applications driving our society,” said Maria Jimenez, chief nominations officer of Business Intelligence Group. “We are so proud to recognize all of the winners in this year’s award program.”

Novolyze SMART Process Control enables real-time, optimized food safety monitoring without testing. The company offers compliance solutions for process control that encompass all parameters in one program, including validation, verification and dynamic monitoring, Novolyze reports.

SMART Process Control’s real-time monitoring helps companies identify and correct deviations from optimal processing parameters to reduce energy consumption, reduce waste or lower operational costs by ensuring that processes are operating efficiently, says Novolyze. Real-time data on process performance available exclusively within SMART Process Control helps companies comply with food safety regulations through automated reports that demonstrate the company’s processes are meeting regulatory requirements.

“Representing a first in the industry, this technology is a major breakthrough for the food and beverage industry and foundational to the Novolyze SMART Process Control SaaS solution,” said Novolyze CEO Karim-Franck Khinouche. “It provides food manufacturers with an automated way to ensure the safety of their products without having to rely on time-consuming and expensive laboratory testing. It also gives them programmatic insight to produce more food faster at less expense and with less waste from their existing processing lines.”