Zetane Systems Surpasses One Thousand Users of Software for Detailed Visuals of Machine Learning

Press release: Software to display artificial intelligence using intuitive, visual formats gains a global user base in over 34 countries.

Jason Behrmann, PhD
Zetane
4 min readDec 14, 2021

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[Montreal, Canada; December 14, 2021] Zetane Systems announced today a new milestone for the Montreal-headquartered company specializing in industrial applications of artificial intelligence (AI). Since its release in January 2021, this December marked over 1000 users of the company’s flagship software tool, Zetane Viewer. Matched with the brisk growth in users is the international distribution of the software that now spans over 34 countries, the top five being in Canada, the United States, India, Germany, China and South Korea. The latest Viewer, version 1.7.0, remains free for download at the company’s website and at the collaborative software development platform, GitHub.

Summary of the user base of Zetane Viewer according to country.

Exposing the inner workings of otherwise abstract technology

Made possible by the company’s patented technology and recent innovations in modelling and simulations, the Viewer provides in-depth and intuitive displays of the structures, components and statistics that comprise artificial neural networks and their processing of data. These tangible visuals of otherwise abstract technology provide new means to streamline tasks related to optimizing the performance of machine learning models. New abilities to inspect the inner workings of this complex technology also provide greater transparency to what is commonly critiqued as “mysterious black-box algorithms”, thus enabling new means to understand and safety test innovations in AI. The graphical user interface of the software is of particular utility for real-world applications of computer vision; however, the visuals also prove useful for projects that implement data other than images and videos (for example, see here for a visualization of a natural language processing model and this project focusing on protein sequences).

A notable development of the free software tool since its release this year is the launch of two professional versions that are available with a paid subscription, being the Zetane Viewer Pro and Engine. The former provides users with additional sessions to assess the processing of image and video-based datasets by pre-trained machine-learning models used in many applications of computer vision. The Engine provides additional features for more rigorous machine learning projects that require more in-depth prototyping, performance and safety testing prior to its deployment within critical operations.

This May marked a significant development for the Zetane Viewer when the visualizer acquired the certification as a supported software tool for the ONNX community. This consortium of leading technology companies of the likes of IBM, Amazon and Tencent define international standards for the representation of machine learning algorithms.

“Our aim is to provide software made for diverse teams of professionals that want to see, understand and test machine learning products. As someone without a background in machine learning, I can attest as to how visuals of the technology allow me to contribute towards building our own in-house AI solutions for industry. Further opening up access to AI to non-experts like myself will continue to be a main goal of future features for the Viewer,” said Jonathan Magoon, Chief Product Officer at Zetane.

Future developments will be data-centric

Having provided means to visualize models, the company now sets its sights on the second essential component of artificial intelligence: data. Early next year Zetane aims to launch data testing services for computer vision models. The list of assessments on the quality of datasets will include intuitive and detailed visual assessments that are equivalent in detail to that of the Viewer.

The company’s new focus on data quality assessments comes at a time when thought leader and leading researcher in AI, Andrew Ng, claims that the technology sector needs a data-centric approach to AI. Ng believes better strategies to improve data quality are essential if we are to surpass current standards for performance and accuracy in machine learning.

Visual of the pre-trained EfficientNet model used for object detection, displayed in Zetane Viewer.

About Zetane Systems

Zetane provides the software and services required to de-risk and trust the deployment of AI innovations in industry. Rather than work with abstract computer code, our software provides a detailed visual representation of AI solutions to bridge the gap between AI experts and industry experts in order to support proper testing, validation, debugging, optimization and monitoring of AI. AI experts gain access to many easy-to-use features that save time and eliminate guesswork, and domain experts without expertise in AI can contribute and conduct needed performance and safety audits. The Zetane Viewer is an official visualization software tool for the ONNX.ai Community of the Linux Foundation, available free to download at zetane.com/gallery. Follow @ZetaneSystems for updates.

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Jason Behrmann, PhD
Zetane

Marketing, communications and ethics specialist in AI & technology. SexTech commentator and radio personality on Passion CJAD800. Serious green thumb and chef.