Our story
Quix was founded by four Formula 1 engineers, who harnessed the power of data stream processing to make real-time decisions.
From their experience at McLaren, they knew the value of streaming data. So they created Quix — a platform to empower engineers, developers and data scientists from all industries.
Quix is set of tools that aims to make Python stream processing more accessible to developers building ML and generative AI applications:
- Quix Cloud provides a Python-first, dedicated engineering data management platform built for test rigs and simulators, that removes the headaches of fragile internal solutions.
- Quix Streams is an open source framework for processing data on Apache Kafka in pure Python with Streaming DataFrames.
Our mission
To empower engineering R&D teams to take control of their test rig, simulation and configuration data in a Python-first engineering data management platform.
Quix unifies scattered test and configuration data, allowing teams to access, manage and analyze their engineering data more efficiently and enable faster product innovation.
Our values
Smart as f**k
No explanation needed.
The MacGyver effect
Be resourceful. Look it up.
Go the extra mile
We work smart AND hard.
"Pull!"
Bring the energy to help the boat go faster.
And above all else
Be human.
Be adaptable.
Be curious.
Sounds like you?
Join us to bring more ideas to life faster.
Latest from the blog
Industry insights
May 21, 2026
Using AI to accelerate rotor balancing throughput and reduce capex by 30%
Discover the three pillars of a successful AI strategy to reduce balancing runs, accelerate rotor throughput and cut capital expenditure.
Mike Rosam
CEO & Co-Founder](https://quix.io/blog/using-ai-to-accelerate-rotor-balancing-throughput-and-reduce-capex-by-30)
Industry insights
May 7, 2026
Has F1 become too software defined?
Software is ruining F1 for drivers & fans by replacing skill with automated control, but the same kind of automation is empowering engineers' competitive R&D.
Mike Rosam
CEO & Co-Founder](https://quix.io/blog/has-f1-become-too-software-defined)
Industry insights
Apr 24, 2026
Why infrastructure, not models, is driving industrial AI adoption
Industrial AI gains aren't coming from frontier LLMs, they're coming from traditional AI models. Better infrastructure is now making these models usable.
Mike Rosam
CEO & Co-Founder](https://quix.io/blog/why-infrastructure-not-models-is-driving-industrial-ai-adoption)