An example of promotional materials derived from Zetane's visualization of AI models and their processing of data. In this case, detailed visuals helped explain the value proposition to municipal governments of using AI technology in power infrastructure.
Our clients include these prominent research institutes and corporations.
Our team of machine learning engineers and data scientists are PhDs and leading practitioners ready to deliver a timely solution. We will use our software, the Zetane Engine, and our patented technology to deploy your unique AI solution along with simple dashboards and a command-and-control platform.
Provision of a visual and intuitive representation of the AI solution so that both technical and non-technical members can participate in the development of the technology from the start. We will offer your team the opportunity for exceptional engagement and input into the project.
The ability to visually inspect and understand the inner workings of the AI technology so your team of experts along with Zetane can conduct safety audits and performance tests prior to deployment. Your team will have the opportunity to review prototypes of the proposed AI solution to ensure the technology meets all your requirements.
Provision of scaleable AI technology in a format that will empower your in-house team of engineers to leverage AI analytics in their daily tasks. You will have the ability to further optimize the AI solution as needed as conditions change over time.
Provision of custom-made technology built using the best industrial standards for machine learning algorithms to date known as ONNX. Such standards will help ensure your AI solution is compatible with the diverse hardware and software employed at your facilities and can acquire future upgrades with greater ease.
Learn about how we built the Zetane Engine for industrial applications of machine learning from this conference presentation by our CEO, Guillaume Hervé.
See how we leverage the open-standard ONNX to complete machine learning projects faster and to better understand the inner workings of algorithms in this presentation by our CTO, Patrick St-Amant.
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