Company
Nov 14, 2022

Quix raises $12.9m Series A to accelerate event-driven data apps

Why we've partnered with MMC Ventures, Project A Ventures and Passion Capital to accelerate our growth.

Mike Rosam
Mike Rosam
CEO & Co-Founder
Quix Zoom team meeting.

Python stream processing, simplified

Pure Python. No JVM. No wrappers. No cross-language debugging. Use streaming DataFrames and the whole Python ecosystem to build stream processing applications.

Python stream processing, simplified

Pure Python. No JVM. No wrappers. No cross-language debugging. Use streaming DataFrames and the whole Python ecosystem to build stream processing applications.

Data integration, simplified

Ingest, pre-process and load high volumes of data into any database, lake or warehouse, without overloading your systems or budgets.

The 4 Pillars of a Successful AI Strategy

Foundational strategies that leading companies use to overcome common obstacles and achieve sustained AI success.
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Guide to the Event-Driven, Event Streaming Stack

Practical insights into event-driven technologies for developers and software architects.
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Quix is a performant, general-purpose processing framework for streaming data. Build real-time AI applications and analytics systems in fewer lines of code using DataFrames with stateful operators and run it anywhere Python is installed.

Quix announces Series A funding

I'm delighted to share that Quix, our event-driven data engineering platform for building real-time applications, has raised a $12.9m Series A funding round led by MMC Ventures, with full participation from existing investors Project A Ventures and Passion Capital.

When we were working at McLaren Formula 1 we knew success was based on a team’s ability to make decisions in milliseconds. Real-time data became a competitive advantage in a context where decisions needed to made fast.

Quix has developed a high-performance, scalable platform that solves a clear business challenge: processing data in real-time to derive actionable insights. It empowers organisations to build data apps in weeks rather than years by providing dev teams with the tools, infrastructure, and integrations they’d otherwise have to build themselves.

Core to Quix’s strategy is a modular architecture, meaning that customers are not locked into any cloud vendor, infrastructure, or technology. The team has also made an intentional choice to focus on Python – a language that supports deeper analytics, machine learning and automation use cases.

With the new funding, we plan to grow our team to accelerate investments in product, partnerships, community and open-source initiatives. We can't wait for this next step. Thanks for being on the ride so far!

If you're interested in joining to accelerate our journey, check out our careers page.

Interested in learning more? Read why MMC Ventures have invested. You can also find the funding announcement on TechCrunch.