VIDEO ANALYTICS. REAL-TIME DECISION-MAKING. AI FOR MULTIMEDIA.
An AI solutions stack, optimized for understanding the real world.
VRULL's Multimedia AI Computing Architecture (MACA) is a software stack integrating video-processing, deep-learning frameworks and a hardware-optimized inference engine. It is designed to power emerging applications in industrial automation, medical machine-vision, video-surveillance, and video-streaming.
With machine vision driving real-time decision-making, your priority is to deliver automation solutions that empower your customers to succeed. Thanks to our vision-optimized AI platform, addressing complex, high-bandwidth, real-time computer vision challenges has never been easier.
Join top semiconductor companies and electronics device developers who trust VRULL for unparalleled success.
Unlock the potential of advanced AI for your video-processing applications.
Real-Time Video Processing
We combine AI acceleration with VPUs that are designed specifically for video processing tasks, offering high efficiency in encoding, decoding, and transcoding video content. They can handle complex video processing operations with minimal power consumption and latency.
With dedicated hardware, the video latency is as low as 8ms.
Visual AI made easy
Our whole AI-optimized software stack provides everything you will need: a low-level hardware abstraction layer, acceleration libraries for video-processing, runtime-support, an OpenCL backend, and supports popular AI compiler frameworks to ensure a smooth design start.
Optimized SDKs for Vision
By offloading video processing tasks from the main CPU or GPU, VPUs can reduce the overall system cost and improve performance. This is particularly beneficial in large-scale deployments where cost efficiency is crucial.
With any processor being only as good as the software ecosystem supporting it, we delivered optimized SDKs for video analytics.
Deliver Solutions With The Multimedia AI Computing Architecture
Multi-modal AI Processing
Hard- and software-acceleration with synchronous support for computer-vision and natural language processing.
Full-stack development support
Compatible with TensorFlow, PyTorch, and Apache MXNet frameworks.
Applicable to a variety of vertical markets
Smart security: supports AI-powered structural analysis of 256-channel 1080p video streams
Medical imaging: accelerates AI-assisted diagnosis for MRI and CT imaging
Quality inspection: inspect, grade, and sort products automatically
Backed by world-class academic research
