Real-time data startup Quix raises $12.9 million Series A led by MMC Ventures

The complexity of data streaming technologies – not just video streaming, but any kind of data streaming – has created headaches around dealing with this high-speed data processing.

Accordingly, companies like Spark, Flink have emerged to handle this ksqlDB. Many of them are either java based solutions or SQL based analytics solutions. However, UK startup Quicks says it’s a platform for developing event-driven applications Pythonwhich may have applications in, say, physics-based data modeling and anomaly detection in machine learning.

It has now raised an £11m / US$12.9m Series A funding round led by London-based VC MMC Ventures, with participation from existing investors Project A Ventures (Berlin) and Passion Capital (London).

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

In a statement, Mike Rosam, co-founder of Quix, said: “Many companies struggle to combine raw technologies like Kafka into real-time data capabilities… This new capital will fuel our mission to simplify event-driven data engineering, so more companies can build advanced, data-intensive applications.”

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

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