Quix secures a $12.9M Series A funding round.

Quix secures a $12.9M Series A funding round.

Quix secures a $12.9M Series A funding round.

The intricacy of streaming data technology—not just streaming video but any form of streaming data—has created difficulty in coping with that high-speed data processing.

Accordingly, firms like Spark, Flink have sprung up to solve this ksqlDB. Many are either Java-based solutions or SQL-based analytics solutions. However, UK company Quix claims it is a platform for creating event-driven apps using Python, which may have benefits in, say, physics-based data modeling and anomaly detection in machine learning.

It’s now secured a £11m / $12.9m Series A fundraising round headed by London-based VC MMC Ventures, with participation from current backers Project A Ventures (out of Berlin) and Passion Capital (London) (London).

The Quix founders are accustomed to real-time decision-making, having worked in Formula 1, where success is built on milliseconds. In fact, one of its clients is McLaren, as are mobility startup Voi and the National Health Service (UK), among others.

In a statement, Mike Rosam, Co-Founder of Quix, said: “Many firms are attempting to merge raw technology like Kafka into real-time data capabilities… This fresh cash will fuel our aim to simplify event-driven data engineering so that more organisations can develop contemporary data-intensive apps.

Oliver Richards, Partner at MMC Ventures, added: “We have been doing an increased amount of research in the data infrastructure space; it is clear that there is a growing demand for real-time streaming data, both across consumer and B2B use cases.”

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