Design

CIRRENT SaaS for product development with intelligence

21st October 2022
Sam Holland
0

At OktoberTech 2022, Infineon Technologies is bringing digitalisation to the Edge from the Cloud. The company has announced the next generation of its SaaS (software as a service) offering, Infineon’s CIRRENT IoT Network Intelligence (INI).

The CIRRENT INI is a Cloud system that offers help IoT developers to quickly and cost-effectively gather information about their products to increase reliability, improve product performance, and reduce support cost.

Product and development teams use the service to identify, monitor and solve customer and product problems faster. The CIRRENT Agent embedded software can be deployed in new products or rolled out over-the-air to existing fleets, and then devices report data into the CIRRENT Cloud. Development teams can use the online console with new artificial intelligence and machine learning capabilities to analyse product data and get new insights into product performance in the field.

“The Internet of Things enables unprecedented visibility into products in the field, but too many IoT product companies lack both the data and tools to look at the data,” said Rob Conant, Vice President of Software and Ecosystem, Infineon.

“Infineon’s CIRRENT INI gives developers the ability to quickly gather data on their products in the field with dashboards and tools that provide actionable insights to solve problems and help drive strategic product development. This is just one example of Infineon’s digitalisation efforts to help our customers make better products.”

“Our product development challenge was to bring our outdoor security camera quickly to market, focusing on product differentiation,” said Darrell Holigan, Director of Engineering at SimpliSafe. “With Infineon’s CIRRENT INI, we were able to quickly gather data and monitor performance and optimise our devices to meet our customer needs. Data is a critical part of our customer’s success and the console is an excellent source of organising and analysing that data.”

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