Zetane Systems | AI proven ready for industry

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Turning AI Potential into Industrial Reality

Zetane offers reliable AI automation for high-risk industries, proven to drive efficiency, saving you time and money.

Zetane has a new flagship platform ZetaForge which is the trusted AI acceleration platform for rapid development of AI and AGI solutions.

ZetaForge Drives Value

Light-speed experimentation. Collaborate, build, and re-configure pipelines with the latest models faster than ever. Swap model blocks in your pipelines to quickly test new capabilities.

Build faster than ever. Work with the best AI agents (GPT-4o, Claude 3.5, or host your own) to quickly build blocks or entire systems.

Run once, run forever. Assembling containerized code blocks into visual pipelines makes development repeatable, shareable, and reliable.

Development to Production is a snap. Containerized pipelines run locally and deploy in one click to your cloud or on-premise infrastructure.

Bring models in-house. Leverage the best of open source AI and deploy your own model endpoints. Stop sending your valuable data for model training.

Our Customers Trust our AI Expertise

"Zetane has consistently delivered the highest quality products, accompanied by exceptional customer service."


Trusted by clients in construction, energy, manufacturing, aerospace, defense, and several more industries. Popular applications of our full-suite AI services include automated visual quality assurance inspections, predictive maintenance of equipment and vehicles, automated analysis of images or documents, and safety & reliability testing of AI technology so you can add it to critical operations with confidence.


We serve customers around the globe including Canada, France, Chile, Japan, Germany and the USA. 



We continue to support our popular software Zetane Protector & Zetane Insight Engine.

Keywords

ai, software development, xai, machine learning, deep learning, data science, enterprise ai, industrial ai, aiinbusiness, machine vision, neural networks, ai robustness, ai ethics, data bias

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