Visionular provides AI-driven video compression solutions that help broadcasters and streaming platforms reduce transcoding, storage, and delivery costs by over 50%. Its technology integrates deep learning with video encoding to support H.264/AVC, HEVC, and AV1 codecs via SDKs and the AuroraCloud SaaS platform. Serving over 200 customers globally with a 100% retention rate and processing over 2 billion minutes of video monthly, Visionular delivers ultra-high-definition video experiences for long-form, short-form, live broadcasting, OTT, cloud gaming, and other applications. The company’s approach combines more than 20 years of combined expertise in video encoding, image processing, and computer vision to differentiate itself in the market.
AI-assisted video encoding engine that uses pre-processing, perceptual encoding, and smart bitrate control to reduce video bitrates while preserving quality.
Deep-learning-based image compression solution with enhancement processing, ROI detection and protection, and perceptual coding.
Hardware encoding optimization engine that tunes GPU or SoC encoding modules with AI algorithms to improve compression efficiency.
AI ultra-HD processing engine for enhancement, HDR, and high-definition visual improvement across video workflows.
Video fingerprinting and blind-watermark solution for content identification, tracking, copyright protection, and anti-piracy workflows.
