Quix is a platform for developing event-driven applications in Python, aimed at simplifying high-speed streaming data processing. It targets use cases such as physics-based data modelling and anomaly detection in machine learning and positions itself as an alternative to many Java- or SQL-based streaming solutions. The founders bring real-time decision-making experience from Formula 1, and the company counts customers including McLaren, mobility startup Voi, and the U.K. National Health Service. Quix argues many companies struggle to combine raw technologies like Kafka into real-time capabilities, and its product is built to address that complexity. The company said the new capital will fuel its mission to simplify event-driven data engineering so more companies can build modern data-intensive apps. Quix recently raised an £11 million ($12.9 million) Series A led by MMC Ventures. Quix offers a real-time data engineering platform and SDK that connects Python code directly to message brokers like Kafka so developers can run machine-learning models in-memory on live data streams. The company promotes a shift from database-centric to a ‘stream-centric’ approach for low-latency, cost-efficient streaming applications. Quix provides the Quix Portal and is offering developers a free subscription to its platform. Its founders are former McLaren F1 engineers, and early customers include the NHS, Deloitte and McLaren. Use cases cited include electric-vehicle development and financial-fraud detection. The company positions itself alongside batch and event-streaming incumbents while claiming a complementary role in production data infrastructure.

Total raised

$16M

Funding rounds

2

Latest round

Series A

Latest activity

Nov 2022