High Efﬁciency Distributed Video Encoding System: Allows more videos to be stored with ultra-high resolution (e.g. 4K) through greatly reduced storage & bandwidth requirement.
Video Enhancement Engine: AI-facilitated content adaptive video enhancement, restoration and super-resolution, much higher visual quality presented.
“We Believe in Novel Technologies, Open Mind, Persistency, and Team Work.”
Our team consists of alumni of Purdue, Rice, UIUC, USC, NEU, Tsinghua, Zhejiang University, Peking University, USTC, Nankai University, UESTC; ex-employees of Google, Apple, Bell Labs, Baidu, Kingsoft Cloud, ArcSoft.
Our expertise lies in video compression, deep learning, image processing, computer vision, cloud video infrastructure, GPU, FPGA.
Teams built in both Mountain View, California and Hangzhou, China.
Supported by 3 highly techincal VCs (Tsingyuan / Tsinghua Technology / CoWin), and several well-acknowledged entrepreneur angel investors including CEO/Founders of Agora.io and Zoom.
Completed first collaborative project with Google; Sealed first deal with Qiniu, a leading enterprise cloud service supplier located in Shanghai.
Visionular's Aurora made its first appearance at NAB as the world's first production ready AV1 encoder, highlighted at Google booth (demo link).
Presented our AV1 encoder Aurora at 2019 LiveVideoStackCon in Shanghai, and attended a round-table discussion sharing insights to the future of video codecs.
On June 13th 2019, Visionular presented their AI+codec technologies at AllThingsRTC, the premier real-time communication event host by Agora.io.
Visionular presented its progress in deploying its Aurora AV1 encoder in both VoD and RTC usecases at bigapple.video, a technical conference focused on innovation and best practices of video codec technologies, held in New York City.
1451 Grant RD, #200
Mountain View, CA, 94040