Iris Technology has released the code-free webAI platform that enables developers and enterprises to train and deploy AI models faster – with much less data and computing power.

The new modular platform allows teams to train computer vision models faster with less data, run those models with computing power found in most consumer-grade laptops, and deploy those models dramatically faster than industry standards. On the webAI platform, developers and enterprises can build models and prototype quickly at no cost before engaging in an enterprise license.

“Most AI platforms today are built around the assumption that Big Data is the answer to the world’s problems. webAI throws that assumption out the window. Our fundamentally different approach envisions a world where practically any developer, regardless of their budget or past experience with artificial intelligence, can train, deploy and iterate an AI model quickly and cost-effectively.”

said David Stout, co-CEO of Iris Technology, the creator of webAI.

webAI’s no-code/full-code development environment gives enterprises a single tool to collaborate and iterate from sandbox to full deployment quickly and cost-effectively.

“Enterprises are investing billions of dollars in artificial intelligence expertise, computing infrastructure and data acquisition/curation to fuel traditional AI experiments that have about a 13% chance of ever being deployed,”

said James Meeks, co-CEO of Iris.

“webAI’s novel architecture and simple interface enable rapid prototyping and iteration. Because it is free to train and affordable to deploy models on webAI, everyone from entrepreneurial developers to major enterprises now have the opportunity to create and deploy AI workflows that actually solve real-world problems.”

he continued.

webAI embodies a unique approach to intellectual property (IP) protection and data privacy. webAI customers do not need to cede ownership of their data in order to utilize the platform — they own their trained models, and their data is inaccessible by Iris.

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