{"id":1515,"date":"2026-02-11T00:55:20","date_gmt":"2026-02-11T00:55:20","guid":{"rendered":"https:\/\/blogs.mathworks.com\/startups\/?p=1515"},"modified":"2026-02-11T01:17:15","modified_gmt":"2026-02-11T01:17:15","slug":"startup-spotlight-quix-eliminates-data-friction-to-advance-engineering-workflows","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/startups\/2026\/02\/11\/startup-spotlight-quix-eliminates-data-friction-to-advance-engineering-workflows\/","title":{"rendered":"Startup Spotlight: Quix Eliminates Data Friction to Advance Engineering Workflows"},"content":{"rendered":"

When engineers can\u2019t access or trust their data, innovation stalls. Teams struggle with fragmented data and manual workflows that slow automated testing and data-driven development. Quix<\/a>, a startup company, is on a mission to centralize engineering data, empowering engineers to harness advanced analytics without the heavy lift of complex IT projects.<\/p>\n

The Problem: Data Silos Hold Engineers Back<\/strong><\/p>\n

Engineering organizations generate tons of data, but much of it is scattered across laptops, servers, test rigs, and disconnected tools. Mike Rosam, CEO of Quix, explains, \u201cThat really prevents engineers from using more modern analytical techniques like data science, machine learning, and AI at scale.\u201d The result is an undesirable, slower time to market, lower product quality, and missed opportunities for automation.<\/p>\n

Organizations trying to overcome this have a few decisions. They can build a custom in-house system, which can be expensive and complex to maintain, hire consultants for a digital transformation, again costly, or buy an enterprise platform, requiring customization and long deployment timelines. \u201cEvery R&D organization in the world has its unique processes,\u201d Rosam notes. \u201cIt\u2019s really hard to buy a standardized product that you can just purchase like a CRM for marketing data.\u201d<\/p>\n

The Solution: Quix – A Platform Built for Engineers<\/strong><\/p>\n

Quix flips the script with a developer platform designed for engineers. \u201cWe\u2019re a Python-native development environment, so engineers can build their own workflows in languages they already use,\u201d Rosam describes. \u201cThere\u2019s no DevOps. Engineers write Python scripts, deploy them, and they\u2019re up and running.\u201d<\/p>\n

The platform handles two major jobs:<\/p>\n

    \n
  1. Data Ingestion:<\/strong> Quix makes it easy to build data pipelines from test rigs, labs, and simulation tools, normalizing and enriching data for analytics. Engineers customize connectors using AI\u2011assisted code generation, then route data into a centralized warehouse. Metadata from configuration systems is automatically merged, allowing downstream tools to consume analytics-ready datasets. Mechanical and test engineers can set up pipelines themselves without IT tickets or delays.<\/li>\n
  2. Analysis and Automation:<\/strong> Once data is centralized, engineers can pull it into the tool they prefer. From MATLAB and Simulink to Jupyter Notebooks or custom tooling, the open structure enables hybrid toolchains rather than locking teams into one environment. A powerful use case is to automate event-driven analysis, triggering simulations, validation routines, or model-based workflows as soon as new test data arrives. Rosam explains, \u201cWe\u2019re really trying to automate all of those steps in the engineering workflow and let engineers build their own workflows.\u201d<\/li>\n<\/ol>\n

    \u201cA big differentiator for Quix is it\u2019s very open,\u201d Rosam notes. \u201cWe can get data from any R&D tool, any physical system, into a consolidated cloud and let engineers pull the data into any tool.\u201d<\/p>\n

    Seamless Integration with MATLAB and Simulink<\/strong><\/p>\n

    Quix\u2019s platform is deeply integrated with MATLAB and Simulink. \u201cWe use MathWorks tools every day to help our customers solve problems,\u201d Rosam says. \u201cThe integrations we\u2019ve built make it easy for engineers to acquire data from simulations and serve models in the cloud.\u201d Engineers can use a Simulink block to stream data from Simulink models directly into Quix Cloud<\/a>. They can run MATLAB and Simulink models inside Quix against live or historical data streams. Or parameterize models dynamically for real-time digital twin applications.<\/p>\n

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    The Quix.IO platform seamlessly integrates data into Simulink. (Image courtesy of Quix)<\/p><\/div><\/p>\n

    Quix\u2019s approach is already penetrating industries from motorsport to manufacturing. For example, a Formula One team uses the platform to run digital twin models in real time as the car is driving. When the car changes the front wing angle, engineers update the parameter, and the digital model running in Quix adjusts instantly. This keeps the virtual system aligned with reality, which is critical for verification and validation.<\/p>\n

    \u201cWe work in a very practical way,\u201d Rosam emphasizes. \u201cWe identify a key bottleneck in the R&D process and fix that quickly, sometimes within a month or two. This isn\u2019t a years-long, million-euro digital transformation. It\u2019s pragmatic, high-impact problem-solving.\u201d This model has helped customers accelerate simulation workflows, improve validation cycles, and close data loops between physical and digital environments.<\/p>\n

    Partnering with MathWorks Startup Program <\/strong><\/p>\n

    For Quix, MathWorks Startup Program<\/a> has been a foundational partner. The startup joined the program early to obtain access to MATLAB to help a customer. This quickly grew into a much more collaborative partnership. \u201cStartups are cash-constrained, so the Startup Suites is a no-brainer,\u201d Rosam shares. \u201cBut the support has been unrivalled. MathWorks went the extra mile, from account support, engineering support, even marketing support. We haven\u2019t seen this level of support from other tech vendors.\u201d<\/p>\n

    For a lean startup managing product development, customer success, and operations, this support saves both time and capital.<\/p>\n

    What\u2019s Next for Quix<\/strong><\/p>\n

    Quix is growing rapidly. They are looking forward to opening new offices in Prague and London. The team is hiring, launching new initiatives, and looking ahead to future funding rounds. Their mission remains the same, to remove data friction so engineers can focus on engineering. Rosam concludes, \u201cWhen a customer says, \u2018You changed the way we work,\u2019 that\u2019s the reward. We want to deliver that every day.\u201d<\/p>\n

    Learn more about Quix: https:\/\/quix.io\/<\/a><\/em><\/p>\n

    Learn more about MathWorks Startup Program: https:\/\/www.mathworks.com\/products\/startups.html<\/a><\/em><\/p>\n

     <\/p>\n","protected":false},"excerpt":{"rendered":"

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    When engineers can\u2019t access or trust their data, innovation stalls. Teams struggle with fragmented data and manual workflows that slow automated testing and data-driven development. Quix, a startup… read more >><\/a><\/p>\n","protected":false},"author":173,"featured_media":1516,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[7],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/posts\/1515"}],"collection":[{"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/users\/173"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/comments?post=1515"}],"version-history":[{"count":5,"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/posts\/1515\/revisions"}],"predecessor-version":[{"id":1521,"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/posts\/1515\/revisions\/1521"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/media\/1516"}],"wp:attachment":[{"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/media?parent=1515"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/categories?post=1515"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/tags?post=1515"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}