Komodor

Komodor sells an "autonomous AI SRE" platform for cloud-native and Kubernetes infrastructure. The product covers detection, investigation, remediation, validation and prevention of production issues, plus reliability management (SLO/SLA adherence, policy compliance, drift detection, misconfiguration detection) and cloud cost optimization (workload rightsizing, predictive pod placement, cost allocation visibility). The company states the platform resolves issues with 97%+ accuracy, can reduce MTTR by up to 80%, and can cut cloud spend by up to 80% [0][3].

The platform's AI layer is branded Klaudia, described as agentic AI comprising 75+ specialized workflow and domain agents that operate continuously to perform root cause analysis, automated remediation and proactive optimization. Komodor says it provides contextual understanding of workloads, native Kubernetes resources and add-ons such as service meshes and autoscalers, and integrates with GitOps workflows so fixes can be applied as pull requests or tickets. It also augments existing autoscalers such as Karpenter and Cluster Autoscaler [3].

Enterprise controls include SOC 2 Type II certification, GDPR and HIPAA compliance claims, RBAC, SSO/SAML, just-in-time access, audit trails and SIEM integration; the company states the platform is built on AWS Bedrock and that customer data is not used for model training [0][4]. Komodor supports public cloud, private cloud, on-prem and edge Kubernetes installations and any Kubernetes flavor or version [4].

Founding story

Co-founders Ben Ofiri and Itiel Shwartz worked on large-scale distributed systems at Google and eBay, where internal tooling existed to manage Kubernetes complexity that smaller organizations lacked. They left those roles in 2020 to build a Kubernetes troubleshooting platform intended to democratize operational and troubleshooting knowledge held by a small minority of engineers within an organization [6].

Business model

B2B SaaS sold to enterprises, with a self-service free trial (14 days) and sales-led enterprise motion. Two packaged tiers are offered: Teams (up to 50 nodes, 25 users, 9-to-5 SLA) and Enterprise (custom node counts, unlimited users, 24x7 SLA, SSO, dedicated customer success, cost optimization modules) [4].

Subscription pricing calculated on the average number of nodes in a customer's clusters per annum; both tiers are custom-priced with sales contact required [4].

Traction

The about page cites growth in ARR and a 4.4 Glassdoor rating (numeric values partially rendered as placeholders on the page) and says hundreds of customers use the platform. Customer-reported outcomes include over 80% MTTR reduction and ~40% ticket reduction (Cisco), 36% hard cost savings (Dell), and over 60% MTTR reduction (Visier). One customer environment is described as exceeding 1,000 nodes and 20,000 pods [0][2]. In May 2022 the company reported 45 employees and a full production product for about a year [6].

Latest developments

Komodor's current positioning centers on Klaudia agentic AI with 75+ agents, autonomous remediation, predictive cloud waste prevention and pod placement, and enterprise security certifications (SOC 2 Type II, GDPR/HIPAA, AWS Bedrock deployment). The company is promoting a free virtual AI SRE Summit 2026 on May 12, and its CEO publishes regularly through the Forbes Technology Council on AI SRE and Kubernetes cost management topics [0][3][5].