Kubex
Kubex leverages AI-driven analytics and automation to continuously optimize Kubernetes, AI/GPU workloads, and cloud infrastructure, reducing costs and enhancing stability.
At a Glance
- Enterprise IT
- Cloud-native organizations
- AI/ML startups
- Managed Service Providers
AI Tools by Kubex
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Kubex
AI Resource Optimizer for Kubernetes
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Latest News
Densify Rebrands to Kubex, Reflecting Focus on Automated Resource Optimization
Kubex Named a Leader in GigaOm Radar Reports for Kubernetes Resource Management
Tangoe and Kubex Partner to Deliver Advanced Cloud and Kubernetes Optimization
Nutanix NKP and Kubex: AI-Driven K8s Resource Optimization Integration
Products & Services
An AI-driven resource optimization platform for Kubernetes, AI/GPU workloads, and cloud infrastructure. Provides automated rightsizing and predictive scaling.
Market Position
Leading AI-driven automation platform that bridges the gap between expert analytics and manual resource tuning, specifically targeting the complexities of Kubernetes and high-cost GPU workloads.
Leadership
Founders
Andrew Hillier
Co-Founder and CTO of Kubex (formerly Densify/Cirba). Expert in workload optimization and infrastructure management. Previously held roles at various tech firms in the Toronto area.
Riyaz Somani
Co-Founder and President of Kubex. Previously CEO of Cirba Inc. and Densify. Long-standing leader in the cloud and infrastructure optimization space.
Jayanti Parmar
Co-Founder of Cirba Inc. (now Kubex). Contributed to the initial vision of infrastructure virtualization and optimization.
Executive Team
Gerry Smith
CEO / Executive Chair
Veteran executive who has led Densify/Kubex since 2005. Previously Executive VP of IT for a major firm. Instrumental in the company's growth and rebranding efforts.
Andrew Hillier
Co-Founder and CTO
Drives the technical vision and product innovation for Kubex AI.
Board of Directors
Founding Story
Originally founded as Cirba to optimize virtualization, the company evolved into Densify for cloud optimization and finally rebranded to Kubex in 2026 to harness AI for automated Kubernetes and GPU resource management.
Business Model
Revenue Model
SaaS Subscription based on usage (vCPU/GPU month).
Pricing Tiers
AI-driven insights and optimization for Kubernetes clusters.
Subscription for up to 1,000 vCPUs or 100 GPUs.
Target Markets
- Enterprise IT
- Cloud-native organizations
- AI/ML startups
- Managed Service Providers
- Kubernetes cost reduction
- GPU infrastructure efficiency
- Cloud resource rightsizing
- AI/ML workload scaling
- Tangoe
- Nutanix
- Various Global 2000 enterprises