Videon receives an injection of 9 million dollars to deepen streaming via Edge computing

Voyager Capital, Fortson VC, Bruce Chizen and Cercano Management have decided to invest 9 million dollars in The video to continue developing solutions that improve your edge computing video platform.

This latest injection brings the total investment in Videon solutions over the last seven months to 16.3 million dollars. Companies in the sector such as Techex, Theo Technologies, V-Nova y Zixi are already building and deploying applications that take advantage of the capabilities of the edge computing of The video for your clients.

Tricia Iboshi, CEO of Videon, celebrates the benefits that this round of financing will bring to the company: "We have spent the last 6 months working with industry leaders across the video ecosystem to unlock the potential of the edge to deliver new experiences, drive greater efficiency and create more opportunities for personalization and monetization. The latest financing will allow us to continue innovating, adding more video applications, enabling disruptive workflows and driving live video at scale."

At the same time, Louis Toth, managing partner of Alter Venture Partners, highlights the latest developments promoted by Videon: "Videon is revolutionizing live video through powerful edge processing at an unbeatable price. Videon's video edge computing platform has enormous market potential, as it opens unlimited live video use cases in all sectors driven by low latency, multiple camera angles, technologies such as AI and Machine Learning, and new monetization opportunities.”

Edge Computing en Videon

The video It places edge computing-based processing at the point where the video is created, allowing a huge variety of video processing tasks to be completed before the content moves to the cloud. This allows users, according to the company itself, to significantly reduce the complexity and cost of live production, adding multiple camera angles and remote feeds to meet growing audience expectations for personalized content. For Videon, processing the video at the source “is the key” to reducing the latency.

Recently, a world-leading sports analytics platform deployed Videon's video edge computing platform in its facilities, running custom python scripts, Docker containers, and a full coding and packaging suite. According to Videon itself, this allowed the company reduce your cloud processing costs at the same time that a significant reduction in latency was achieved.