company history.

Visionular is a passionate team of image processing and machine learning engineers, and video codec veterans from Google, Apple, Microsoft, Kingsoft Cloud, ArcSoft, and Baidu. We solve the number one problem today for video services, RTC platforms, and social networks needing to stream video at the highest possible quality using the least bits.

Founded in 2018, we’ve come a long way, but we are only getting started. Here are highlights from a few of our more notable milestones.

July 1, 2020

ShareChat launches Visionular Intelligent Transcoder in the Indian market

ShareChat, an Indian social media platform comprising 60 million MAU's of its short form video service has deployed the Visionular AuroraCloud transcoding solution. Powered by Visionular Intelligent Optimization technology, AuroraCloud enables ShareChat to provide enhanced video experiences with better visual quality, less bandwidth consumption, faster start times, and smoother playback with less buffering, under constrained network conditions.

May 27, 2020

AOM Member Spotlight - Interview with Zoe Liu

As an early Alliance for Open Media member, our Co-Founder and President Zoe Liu shared the behind the scenes story of how Visionular transitioned from being a heavy contributor to the open-source AOM AV1 codec codebase libaom, to becoming a commercial AV1 software encoder technology provider. Read profile.

March 1, 2020

Aurora1 named best video encoder by Moscow State University

Our Aurora1 AV1 Encoder was found to be the #1 video encoder for 4K performance and bitrate efficiency as measured with SSIM, PSNR, and VMAF, by Moscow State University. Read report here.

February 27, 2020

Visionular presents adaptive video technology at the SF Video Tech Meetup

This talk focused on the optimization of AV1, as well as several state-of-the-art schemes for leveraging the use of machine learning to further improve AV1 coding efficiency. More details.

February 3, 2020

AuroraCloud Intelligent Transcoder launches in the AWS Marketplace

Visionular's award winning AV1 encoder Aurora1 is optimized for video on demand applications with superb compression performance, fast encoding time, and unbeatable cost efficiency. It supports processing and conversion of a broad range of video sources, including those of advanced color sampling (10-bit 4:2:2), and all HD / UHD (e.g. 4K / 8K) resolutions. Start on AWS here.

November 4, 2019

Moscow State University selects Aurora1 for 2020 video codec report

The Aurora1 AV1 video encoder was the only commercial AV1 encoder selected for this years MSU annual evaluation and earned first place in the category of subjective evaluation performance. Read report here.

October 14, 2019

Visionular presents ML based AV1 optimization for VOD & RTC at AOM

Visionular presented the most recent results of the Aurora1 AV1 encoder performance including a technology overview of the proprietary AI and video codec technology that powers it. Download presentation here. Watch the video here.

October 7, 2019

Visionular AV1 presentation at AllThingsRTC 2019 with Agora.io

AllThingsRTC is a tech conference hosted by Agora.io in Beijing for developers of real-time communications technologies, products, and solutions. In this critical AV1 milestone presentation, we updated the results of Aurora1 for the use case of RTC. View talk by Zoe Liu.

September 25, 2019

Speaker at the Alibaba APSARA 2019 conference on 5G video

Our President Zoe Liu contributed to a panel discussing 5G+Video that was hosted by Yan Ye (Head of Video/Machine Learning, Alibaba's DAMO Academy). And joined by Prof Lu Yu (Zhejiang University, also MPEG Video Group Chair), Xinfeng Zhang (Senior Engineer from Intel), and Dapeng Liu (Senior Expert from Alibaba Group). 

September 14, 2019

IBC Aurora1 + ML for RTC & cloud-based applications

Visionular presented our updated results on Aurora1 (an optimized AV1 encoder), AI+Codec technologies, and cloud-based solutions for video transcoding, for both VOD and RTC use cases at the invitation of Google. 

August 24, 2019

LiveVideoStack Beijing

Visionular Co-Founder Zheng Zhu shared his experience gained from more than 15 years in R&D design and development in the area of video technology and codec design and optimization including the development of QY265/KSC265 as a key-contributor. Read what Mux wrote about Aurora1, AV1, and Visionular along with highlights from the 2019 Shanghai LiveVideoStackCon event.

June 18, 2019

AllThingsRTC - San Francisco

We presented our AI and codec technologies that are perfectly suited for the application of real-time communications. Event link.

June 10, 2019

Big Apple Video 2019 Presentation

Zoe Liu presented updated results of Aurora1 for the use case of VOD as opposed to x264/x265, as well as other state-of-the-art AV1 open source encoders, and Aurora1 potential for real-time communications. Watch the presentation.

April 19, 2019

LiveVideoStack Shanghai

Zoe Liu presented the results of our Aurora1 video encoder along with future directions for ML and the application of real-time communication video services. Learn more.

April 8, 2019

NAB: Aurora1 AV1 Debut

We launched the first commercial AV1 encoder at NAB 2019. Learn more about Aurora1.

November 30, 2018

Google & Qiniu enterprise cloud project completed

We completed our first collaborative project with Google sealing a deal with Qiniu a leading enterprise cloud service vendor in Shanghai.

September 17, 2018

Visionular raises $3.4 million seed round

Supported by three highly technical VC firms (Tsingyuan / Tsinghua Technology / CoWin), and several well-known entrepreneurs and angel investors, including the CEO/Founders of Agora.io and Zoom, we closed a $3.4 million seed round. Crunchbase.

July 1, 2018

Visionular is founded

Visionular solves the challenge video distributors and video app developers face needing to deliver the smoothest possible video at high quality. We are proud of our engineering-driven culture and work each day to deliver world-leading video solutions and services in the field of video encoding, transcoding, processing, analysis and enhancement, powered by AI and adaptive solutions.

learn how we improve UX & video quality.

Click button to get started.

At Tsingyuan Ventures, we believe in startup companies that ride the transformative power of major technology shifts such as deep learning in computer vision. Visionular’s founders are world-class technologists in their field of video codec and AI-driven optimization. We feel privileged to support their adventure with our resources and experience.

Dr. Xuhui Shao
Managing Partner, Tsingyuan Ventures

Deliver better quality and improve user experience.