At KubeCon + CloudNativeCon Europe, Kubiya introduced the first Enterprise AI Stack for Agents, a revolutionary platform designed for organizations to create and manage AI agents efficiently and securely. Unlike traditional tools, which often slow down development, Kubiya focuses on reducing the time it takes to bring AI applications into production. The platform allows developers to build their own agents and offers features like enterprise-grade security and policy controls, ensuring safe deployment at scale. With Kubiya, companies can enhance productivity without increasing staff, as shown by Verana Health’s significant reduction in infrastructure access time. The new stack will be available starting April 1, paving the way for businesses to harness the power of AI agents seamlessly.
Today at KubeCon + CloudNativeCon Europe, Kubiya introduced an exciting new product: the first Enterprise AI Stack for Agents. This innovative platform is designed to help organizations create, manage, and secure AI agents quickly and efficiently.
Instead of focusing on “time-to-automation,” Kubiya is changing the game to emphasize “time-to-production.” Traditional tools for workflow and automation have become outdated, often requiring too much time and effort. Kubiya’s platform allows developers to easily build their own agents or bring in open-source options while keeping everything organized within a single enterprise setup.
Key features of Kubiya’s platform include:
– Robust security measures
– Multi-environment orchestration
– Real-time monitoring and observability
– Policy-as-code controls
These tools enable engineering teams to deploy AI agents confidently and at scale. Amit Eyal Govrin, CEO of Kubiya, stated that the goal is to minimize the human effort needed for automation, allowing teams to go from experimental phases to full production seamlessly.
Early adopters are already seeing major improvements. Rohit Bordia, a Platform Architect at Verana Health, noted that their Developer SLAs for accessing infrastructure have dropped significantly—from three days to just one hour—thanks to Kubiya’s efficient solutions.
Kubiya is positioning itself as the go-to platform for managing AI agents in businesses. Whether organizations need to streamline workflows, scale up agents, or implement AI copilots, Kubiya’s platform makes it feasible and production-ready.
The Kubiya Enterprise AI Stack for Agents will be available starting April 1. For more information, you can visit www.kubiya.ai or check them out at booth S34 at KubeCon.
In summary, Kubiya is paving the way for AI engineering teams, providing them with the necessary tools to manage and scale their AI applications effectively, securely, and reliably.
Tags: Kubiya, Enterprise AI Stack, AI Agents, KubeCon, Automation, Technology News, AI Solutions, CloudNativeCon.
What is the Kubiya AI Stack for Agents?
The Kubiya AI Stack for Agents is a complete solution designed for businesses to create and deploy AI applications easily. It helps developers build intelligent agents that can handle various tasks faster and more efficiently.
How does this AI stack speed up production?
The AI stack accelerates time-to-production by providing ready-to-use tools, templates, and integrations. This means developers spend less time setting up and more time building innovative AI features.
Who can benefit from using the Kubiya AI Stack?
Various users can benefit, including software developers, businesses looking to implement AI, and tech teams wanting to streamline their workflows. It’s designed for anyone wanting to harness AI technology effectively.
What are agentic applications?
Agentic applications are software solutions that operate semi-autonomously to perform specific tasks. They can learn from interactions and adapt to improve their performance over time, making them valuable in business environments.
Is the AI Stack easy to use for beginners?
Yes! The Kubiya AI Stack is user-friendly and designed even for those with limited technical experience. It provides clear documentation and support to help users get started quickly with their AI projects.