Platform
Klaudia Agentic AI Technology

Autonomous Cloud Native Operations Powered by Klaudia

Klaudia Agentic AI powers the Komodor platform. Proven for accuracy in large-scale enterprise environments, Klaudia blends precision with simplicity, helping cloud native experts and beginners alike eliminate hours of manual work.

Meet Klaudia

Klaudia works the way DevOps engineers and SREs do, detecting, investigating, remediating, and optimizing Kubernetes and cloud native infrastructure. With hundreds of specialized workflow and SME agents running continuously to identify and resolve issues – with or without a human in the loop – Klaudia delivers autonomous, enterprise-grade reliability and performance at scale.

Workflow Agents that Never Stop

Klaudia Agentic AI uses hundreds of specialized workflow agents for detection, investigation, remediation, and optimization across cloud native infrastructure. These purpose-built agents are trained to handle a wide range of challenges – from correlating cascading failures across services to optimizing overprovisioned nodes for peak efficiency, and everything in-between.

Detector

Investigator

Remediator

Optimizer

Subject Matter Experts with Deep Domain Expertise

The Klaudia orchestration layer pairs workflow agents with SME (Subject Matter Expert) agents – specialized components trained in complex cloud native technologies like autoscalers, NVIDIA GPUs, Istio, ArgoCD, vLLM, and more. Klaudia’s architecture mirrors how expert SRE teams collaborate – enabling continuous, iterative investigations that quickly uncover root causes and deliver accurate resolutions.

What Makes Klaudia Agentic AI Unique?

Klaudia’s agentic workflows run on an extensible architecture built for accuracy, scalability, and intelligence.

Industry-Leading Expertise

Built on thousands of real-world Kubernetes investigations, Klaudia applies Komodor’s deep domain expertise in cloud native operations to reduce complexity and improve accuracy across every environment.

Cloud Native Depth

Klaudia is laser-focused on the complexities of the Kubernetes ecosystem, cutting through the noise to deliver sharper, more accurate insights.

Multi-Prompt & Advanced RAG

Klaudia uses powerful LLMs to interpret Kubernetes data in a multi-layered investigation process that keeps responses grounded, relevant, and free of hallucinations.

Extensible Framework

Klaudia is built to scale, easily supporting new agent types – including CRD, add-on, and GPU agents – along with additional data sources and integrations.

Contextual Layer

Klaudia draws on historical data, an MCP hub, external knowledge bases, and other integrations to gain a deeper understanding of complex cloud native environments.

Proven Benefits of Klaudia Agentic AI

Proven results from teams who’ve transformed their cloud-native operations

Resolve

Incidents
10x faster

Detect

Cascading errors early before impact

Reduce

Cloud costs, maintain optimal performance

Improve

Infrastructure Health and Reliability

Enable

Users of all levels to solve issues fast

Customers Rave About Klaudia’s Capabilities

Senior Director

Technical Product Management, Smarsh

“Komodor is addressing this issue head-on, introducing KlaudiaAI to redefine Kubernetes troubleshooting. Their dedication to solving one of the biggest headaches in the industry is truly refreshing rather then just throwing out another provisioning platform.”

Amir D

Director of DevOps, Lusha

“Developers need us less, and even when they do, they paste Klaudia output into their request” 💯

Nick

Cloud Infrastructure Manager

“Klaudia in general is working great for us. It is usually able to provide us with actionable insights based on a thoughtful analysis of the state and logs for Kubernetes application pods.”

Alexander

Director of Platform Engineering

“The inputs are fantastic… the way that you’ve gone about this is awesome in terms of collating all this information around events that are happening in multiple places and then being able to try and deduce a root cause 10 out of 10.”

Simon Pole

Principal Cloud Engineer, Priceline

“That's FREAKING AWESOME guys!!"

Senior DevOps Engineer

Priceline

“I find it very useful as of now!”

Mykola

Senior DevOps Engineer

“I’ve used Klaudia a few times so far, and I must say it’s a very cool feature. It was very accurate and helped me quickly identify and resolve the problem instead of searching it in the tons of logs. Overall, I’m impressed and plan to continue using it.”

Cloud Engineer

Balyasny Asset Management

“For me it's great and really helps with vault issues….”

Eden

Data Operations Manager, Lusha

“Our developers use Klaudia all the time, the results there are amazing, it's doing a great job!”

Michael

Staff Software Engineer, Priceline

“I use it all the time. 95% of the time, it’s able to identify the issue that’s causing the application to not be available, whether that be an image pull fail, or a particular line from the logs, or a failing health check, etc. It saves us a lot of time.…the insights it was able to gather were extremely helpful.”

Tiago Bernardinelli

Director of Software Engineering, Digibee

“We use it a lot… It's awesome!”

M James

Senior DevOps Engineer

“We saw what Komodor would provide for us, and we knew within the first two weeks that it was the product for us, because it remediated a security incident that happened in a lower environment.”

G Mathew

Senior DevOps Engineer

“We noticed that during some performance load testing,q we had some services that weren't responding correctly. Komodor was able to get us a resolution within 5 minutes, which was about to take the performance team 2 hours to really isolate, and that was the true selling point for us to get Komodor”

A Dov

DevOps

“Those individuals to be better at their jobs, and Commodore has been nothing but fantastic for us.”

M James

Senior DevOps Engineer

"Komodor gave our systems engineers—who hadn’t worked with Kubernetes before—the ability to troubleshoot issues independently. After a quick walkthrough, they identified a misbehaving service and traced it to the exact code and log causing the problem."

F Nolman

Staff Software Engineer

“We were searching for a platform that could bring that expert level to the regular sys admin operations teams that may not be aware in the space, but they do know how their application works.