Densify (Kubex) vs ZopNight: ML Rightsizing or Full Loop
Densify is now called Kubex, and it is a rightsizing specialist. ZopNight rightsizes too, but its core loop is schedules, recommendations and remediation.
What Densify, now Kubex, does
On 15 January 2026 Densify announced it was rebranding as Kubex, describing it as the “same organization, with the same founding team, investors” (PR Newswire). densify.com now redirects to kubex.ai, which leads with “Resource Optimization for Kubernetes and AI Inference”. Its menus cover AWS, Azure, GCP and Oracle Cloud, and OpenShift, EKS, AKS, GKE and OKE.
For cloud instances, the Cloud Resource Optimizer says “machine learning finds the right cloud instance for every workload”. It offers policy-based automation with guardrails, and it integrates with GitHub, GitLab, Sentinel and Terraform, so a recommendation can land as a code change (Cloud Resource Optimizer). Pricing is by quote: “Kubex pricing depends on a number of specifics about your environment”, with a free way to get started (pricing).
We found nothing about off-hours start/stop scheduling on the pages we read, so we make no claim either way.
Picking an instance versus deciding when it runs
Kubex’s pitch is analytical depth on one question: what size and type should this workload be? The answer covers containers, GPU inference and cloud instances, and it can be pushed straight into infrastructure code.
ZopNight’s rightsizing recommendations are one category among several. The others are idle, schedule, orphan, discount, compliance, security and reliability. Each recommendation shows its current cost, optimized cost and the monitoring evidence that triggered it. A resize runs as a workflow with a precondition check and a validation step. ZopNight later checks whether the change actually happened, against a before-picture it froze when the recommendation was raised. Around that sits the part Kubex does not lead with: schedules that switch whole environments off when nobody is using them.
| Capability | ZopNight | Densify / Kubex |
|---|---|---|
| Clouds | AWS, GCP, Azure | AWS, Azure, GCP, Oracle |
| Kubernetes platforms | EKS, GKE, AKS; ROSA discovery | OpenShift, EKS, AKS, GKE, OKE |
| Rightsizing approach | Rule-based with metric evidence; resize workflow | Machine-learning instance and container selection |
| Delivery into IaC | Terraform/OpenTofu plan governance in PRs | GitHub/GitLab, Sentinel, Terraform integrations |
| Off-hours scheduling | Yes | Not found on pages we read |
Choose Densify / Kubex if…
- GPU and AI inference capacity is your fastest-growing bill, and you want a vendor focused on it.
- You run Oracle Cloud or OKE alongside the other clouds.
- You want rightsizing that reaches engineers as pull requests against Terraform, with Sentinel policy in the loop.
Choose ZopNight if…
- Your environments have clear working hours, and turning them off is worth more than resizing them.
- You want scheduling, showback, budgets, anomaly detection and remediation in one product, rather than a rightsizing specialist plus other tools.
- You want every resize, stop or cleanup to go through the same approval, notification and audit trail.
Questions we get a lot.
If yours isn't here, email us and we'll answer directly.
Is Densify the same company as Kubex?
Yes. Densify announced its rebrand to Kubex on 15 January 2026, saying it is the same organization with the same founding team and investors. densify.com now redirects to kubex.ai.
Does ZopNight use machine learning for rightsizing?
No. ZopNight's recommendations come from rules over cloud monitoring data, cost data and activity logs, and each one shows the evidence that triggered it. Where it cannot back a saving with data, it marks the recommendation advisory rather than inventing a figure.
Can ZopNight scale autoscaling groups rather than stop them?
Yes. ZopNight manages autoscaler policies for AWS Auto Scaling groups, ECS services, Azure VMSS and GCP managed instance groups, in monitor, recommend or autopilot mode, including time-based scaling presets.