Back to Results

Roviero is a deep-tech startup founded in early 2019 that has developed the CortiOne™ NPU and integrated CortiSoft™ compiler technology. The IP design and software stack enables uncompromising performance with ultra-low power and low latency for edge devices.
Solving the ultimate problem of scalability, programmability, and power consumption with a hybrid hardware-software design, Roviero enables every device that uses a silicon chip for localized processing to be “Natively Intelligent.” This unique design will disrupt how AI is engineered and gives users a high degree of security and privacy.
Roviero has partnered with Arm to introduce the latest product, CortiOne Premium. This product adds a Cortex-M core deep within the NPU, giving flexibility to support future network requirements. Also integration with Arm Keil MDK shortens time to market for application developers.

Solution Briefs

  • thumbnail: Edge AI accelerator for IoT, Home Security camera, smart doorbell
    Edge AI accelerator for IoT, Home Security camera, smart doorbell

    CortiOne™ Premium NPU accompanied with the easy to use CortiSoft software tools provides a comprehensive solution to meet the needs of home security cameras, smart doorbells, IoT, while delivering remarkably long battery life.

    Learn More
  • thumbnail: Roviero delivers immersive video conf experience
    Roviero delivers immersive video conf experience

    CortiOne™ Premium NPU accompanied with the easy to use software tool chain provides a comprehensive solution to deliver an immersive video conferencing user experience by accelerating multiple networks running simultaneously on life video stream.

    Learn More

Insights

  • Advancing computer vision on the edge, different ML approaches Arm Tech Talk
    Advancing computer vision on the edge, different ML approaches

    Computer Vision at the edge is going through a huge transformation due to the advent of machine learning. In this talk, we highlight how Roviero (with Deeplite, Plumerai) are revolutionizing computer vision on the edge through machine learning.

    Learn More