London-based Quix is a real-time streaming analytics platform that aims to ensure that any business, small or large, can quickly access and respond to data information at a lower cost without reducing its environmental impact. In a recent development, the platform secured £ 2.3million in a seed funding round.
The investment was led by Project A Ventures with the participation of Passion Capital and angel investors such as Frank Sagnier (CEO, Codemasters), Ian Hogarth (Co-Founder, Songkick), Chris Schagen (CMO, Contentful) and Michael Schrezenmaier (COO, Pipedrive)) .
Sam Cash of Project A Ventures said, “Data streaming is the next paradigm in data architecture as end users accelerate the demand for live, on-demand and personalized applications. The Quix team is leading this market by democratizing access to the data streaming infrastructure previously reserved for the largest companies. “
Malin Posern, Partner at Passion Capital, commented: “Today’s world generates unimaginable amounts of data from digital and physical activities. Companies of all types and sizes want to use their data in real time to be competitive. We are excited to support the Quix team on their journey to empower the streaming revolution. “
Starts his portal online
The Quix portal is currently open to the public. It offers developers a free subscription to a real-time data engineering platform. This platform removes all barriers to building and applying machine learning to streaming data. With Quix, anyone with a knowledge of Python, the data science language, can apply machine learning to real-time data streams in hours, instead of years before.
With Quix, extensive data engineering with just a few lines of code is no longer required to make complex streaming applications functional, as the necessary infrastructure and APIs are immediately available.
Offers a wide range of industries
Quix was founded in 2020 by the McLaren engineering team behind the systems used by most F1 teams to gain a competitive advantage from their live data operations. Since then, it has been adopted by teams from diverse industries such as automotive, industrial, health, wearable, content, gaming and finance. Some notable early birders include Deloitte for personalizing financial services, teams from the NHS working on the country’s COVID response, and their alma mater McLaren.
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