We run on Arm, others don’t.

We pioneered Arm device virtualization.

Smart device R&D is full of challenges

IoT devices are powered by Arm processors. They can’t run and test software on a laptop and require maintaining costly device labs.

  • Devices get broken, lost, and bricked
  • Batteries not made to run constantly, safety risk
  • Inefficient to ship for remote work
  • Difficult to attach tools and automate, complicated to do basic testing and security work
  • Hardware must be ready before software work can begin; delays time to market while teams wait
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IoT Device & Companion Mobile App Virtualization

Corellium accelerates software development lifecycles with Arm-native virtual models and powerful tools and APIs.

  • Easily spin-up endless combinations of device models and firmware versions.
  • A single platform for both IoT device software and mobile app development and testing.
  • Integrate with your existing developer, security, and DevOps tools.
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Virtualize your device

Our extensive library includes hundreds of peripherals and support for nearly every Arm processor.  A virtualized model of your Arm device may be easier than you'd think.

  • Virtualization for most Cortex A, R and M processors

  • Peripheral and sensor models for most popular interfaces and integration needs

  • Ability to incorporate existing models for non-Arm processors and compute elements

  • Experienced modeling team to add new models or create and customize devices
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Ditch device labs and emulators

Stop asking your customers and app developers to manage endless physical device and OS version combinations.

  • Replace costly, incomplete, and undependable physical device labs or cloud farms.
  • Achieve Arm-native performance, accuracy and device behavior that emulators can’t. Virtualized IoT devices often run much faster than the physical devices they represent!
  • Run production code and eliminate code modifications and recompiles.
  • Enable testing with the kind of scale that only the cloud can offer.
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Virtualize DevOps to accelerate software R&D

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