Developers from the Formula 1 field are quick to raise funds

Handling high-speed data processing is difficult due to the complexity of streaming data technologies, including streaming video and other data. The UK company Quix offers a framework for building event-driven Python applications, which could be helpful for tasks like physics-based data modelling and anomaly detection in machine learning. 

With the help of prior investors Passion Capital and Project A Ventures has now closed a $12.9 million Series A fundraising round. Quix’s developers are used to making judgments quickly because they worked in the Formula 1 industry, where success is evaluated in milliseconds. In fact, it counts McLaren, the UK’s national health service, mobility startup Voi and other organisations as clients. 

The co-founder of Quix, Mike Rosam, said many organisations are attempting to mix raw technologies like Kafka into real-time data capabilities. By streamlining event-driven data engineering, they hope to enable more companies to develop cutting-edge, data-intensive apps. 

Oliver Richards, partner at MMC Ventures also agrees that it is evident that there is a growing demand for real-time streaming data, both across consumer and B2B use cases.