With $17M in funding, Immerok launches cloud service for real-time streaming data

Flink was released by the Apache Software Foundation. Ten years ago, a startup called Immerok was founded by David Moravek, Holger Temme, Johannes Moser, Konstantin Knauf, and Piotr Nowojski.

Having worked with a few dozen companies over the past several months and on the eve of the launch of an early access program, Immerok today announced that it raised $17 million in a seed funding round. Temme said that the money would be used to expand the company's team and further develop its cloud product.

According to Temme, Immerok is bringing real-time to the mainstream by developing a serverless Apache Flink cloud service that will make it possible for all companies to innovate new real-time customer experiences. The Apache Flink team will continue to work with the open source community.

Temme admits that there are other cloud services for Apache Flink. Temme's own cloud service is hosted by Amazon Web Services. Immerok makes the power of Apache Flink available to developers with close to zero operations overhead, allowing them to run a full range of stream processing use cases.

Right now, the most strategic IT initiatives include artificial intelligence. Temme said that until now, organizations have required specialists to build, operate and scale that infrastructure, but that is no longer the case. Many of the companies we work with rely on the service to process the data that drives real-time artificial intelligence systems in e- commerce, security, financial services, entertainment and other industries.

The majority of Immerok's employees are in engineering. Temme expects to hire 30 new employees by the end of the year 2022, across its engineering, community relations and customer success teams.

It may be difficult in a down economy. Temme believes that companies will increasingly look to real-time data-driven platforms to create new user experiences and increase the efficiency of their business operations.

There is a lot of demand for stream processing applications. Most of the skills needed to operate stream processing infrastructure are already used by the cloud and internet giants. Temme said that Iokmmer solved this challenge by giving companies the power to build and deploy stream processing systems at scale. Companies will be able to make any data-driven action in real-time as a result of real-time computing.