M+E Europe

The acquisition will expand Cognizant’s smart products and industry 4.0 expertise.

With the close of the acquisition, Cognizant will establish its newest IoT innovation lab in the Raleigh-Durham, N.C., Research Triangle, with the Bright Wolf team as its core.

“Combining Bright Wolf’s experience in production-class IIoT deployments with Cognizant’s expertise in foundational IIoT technologies will increase our clients’ resiliency, operational efficiency, and competitive advantage,” said Malcolm Frank, President, Digital Business, Cognizant. “Companies are increasingly embracing IIoT, and Bright Wolf’s team of senior IIoT architects have delivered the business value others have struggled to achieve. We look forward to this talented team joining Cognizant.”

“IIoT transformation can be a complex, high-stakes undertaking for any business,” said Peter Bourne, Chief Executive Officer, Bright Wolf. “Bright Wolf has helped leading companies across industries realise their IIoT vision through our Zero Waste Engineering™ approach. We help ensure clients make the right investments at the right time and have the ability to scale as dictated by business and market needs. Our unique capabilities, together with Cognizant’s deep vertical industry knowledge, scale, and expertise in predictive analytics, AI, cloud, and IoT, will provide clients with an unparalleled partner on their IIoT journey.”

Bright Wolf will enrich Cognizant’s smart products offering and expertise in architecting and implementing IIoT solutions. Bright Wolf delivers design consulting, development, and digital transformation services for clients such as Caterpillar and ITW Hartness in manufacturing, energy, transportation, water, healthcare, and agriculture, among other industries. For example, Bright Wolf recently introduced a solution for automation of cold chain transportation and refrigeration assets for one of the world’s largest logistics companies.

Bright Wolf’s specific expertise, centred on asset performance management, predictive maintenance, and yield optimisation, includes:

–Connecting Industrial Equipment ­ Transforming manufacturing machinery into connected assets and systems for new data-driven services, predictive maintenance, and customer value.
–Optimising Industrial Operations ­ Automating manufacturing, supply chain, and energy operations while modernising legacy controls, human machine interface, and historians with a more intelligent edge, including analytics, AI, and secure cloud connectivity.
–Integrating Enterprise Data ­ Improving data visibility and operational insights to deliver better performance across multi-site machinery, Enterprise Resource Planning, and Customer Relationship Management systems, as well as complex business workflow integrations.
–Leveraging Proprietary Accelerators for IIoT Deployments ­ Increasing the time-to-value of industrial data with Springboard Cloud Services, connecting equipment to the cloud faster with Gearbox Edge Suite, and managing fleets at scale with GearBox Device Manager.