Quix Joins the MathWorks Connections Program

London, UK — Quix, a data platform for industrial R&D teams, today announced it has joined the MathWorks Connections Program as a product partner. The membership is based on Quix Cloud, a Python-first platform that enables engineers to deploy MATLAB® and Simulink® models as nodes in production data pipelines, processing sensor and simulation data in both real-time and batch modes.

The MathWorks Connections Program is available to third-party organizations that develop and distribute complementary, commercially available products and services based on MATLAB and Simulink.¹ These partner offerings address technical needs across a wide range of applications and industries with products that extend the usage of MATLAB and Simulink, integrating with MathWorks products and ensuring ongoing compatibility with new releases.

The integration

Quix Cloud offers different levels of Simulink integration. The first uses custom-developed MQTT connector blocks, allowing Simulink to run anywhere (including on Windows machines) while Quix catalogs all model I/O. The second deploys Simulink via the official Docker image on Kubernetes for tighter pipeline integration. The third compiles models as Python wheels for license-free horizontal scaling across multiple containers.

For MATLAB, models can run as full headless runtimes (one license per container) or as compiled artifacts via the MATLAB Compiler SDK, where a single compiler license enables unlimited runs for 12 months. Quix also supports the FMI open standard, enabling integration with 280+ R&D modeling tools through the Quix FMU runner.

A dynamic configuration service injects parameters into running models in real time. In motorsport applications, when car configuration changes on track, the MATLAB or Simulink model is automatically updated without restarting the pipeline.

"MATLAB and Simulink are the foundation of physical modeling and simulation across the industries we serve," said Mike Rosam, CEO and co-founder of Quix. "Many engineering teams want to operationalize those models in automated data pipelines, but the infrastructure to do that reliably at scale is hard to build from scratch. Quix provides that infrastructure so engineers can keep working in MATLAB and Simulink while gaining real-time processing, horizontal scaling, and full traceability of every model run."

Who it serves

Quix Cloud serves engineering R&D teams in automotive, aerospace, motorsport, energy, and industrial manufacturing. Primary users include R&D directors, test engineers, simulation engineers, and data engineers working with test rigs, simulations, and configuration data.

Typical use cases include deploying MATLAB/Simulink models in real-time telemetry pipelines (Formula 1 teams process data every 100ms using the Quix Streams micro-batching library); running batch simulations with automated parameter sweeps; stopping expensive test rig or wind tunnel runs early based on real-time threshold analysis; and cataloging simulation inputs, outputs, and configurations for full traceability.

About Quix

Quix was founded in 2020 by four engineers from McLaren Racing's data platform team. The company builds data infrastructure for industrial R&D organizations, enabling mechanical and simulation engineers to consolidate scattered test data, run models in production pipelines, and build analytics without requiring big data expertise. Quix works with Formula 1 teams, aerospace companies, and industrial manufacturers across Europe.

About MathWorks

MathWorks is the leading developer of mathematical computing software. MATLAB, the language of technical computing, is a programming environment for algorithm development, data analysis, visualization, and numeric computation. Simulink is a graphical environment for simulation and Model-Based Design of multidomain dynamic and embedded systems. Engineers and scientists worldwide rely on these product families to accelerate discovery, innovation, and development across automotive, aerospace, electronics, and other industries. For additional information, visit www.mathworks.com.