CloudVectra Logo CloudVectra
Built for FinOps, Engineering & Security Teams

Automate, Optimize, and Secure Cloud, AI & GPU Workloads

One platform to optimize cloud and GPU workloads, automate operations, and reduce infrastructure risks across AWS and Azure.

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AI & GPU Cost Visibility
OpenAI + GPU cost tracking
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Compute & GPU Automation
Eliminate idle resources and optimize usage
🎯
Intelligent Optimization
Rightsizing with actionable savings

Built for Modern Cloud Teams

Why teams choose CloudVectra

CloudVectra helps you take control of AWS and Azure environments β€” turning complexity into clarity with visibility, automation, and cost intelligence.

Full Cloud Visibility

Full Cloud Visibility

Unify cost, resource, and usage insights across AWS, Azure, and AI workloads in one place.

Automation Where It Matters

Automation Where It Matters

Reduce manual effort with policy-driven automation for compute and GPU workloads.

Prevent Cost Surprises

Prevent Cost Surprises

Catch unusual spend quickly and understand exactly what changed.

Operational Control

Operational Control

Take one-click actions and track impact with full audit logs.

Platform Capabilities

Unify Cloud Cost, Compute, and Automation with Security Insights

One platform that helps teams to detect waste, prioritize high-impact actions, automate workload operations, and improve security posture across AWS, Azure, and AI/GPU environments.

AI Workload Intelligence

Gain full visibility and control over AI workloads across GPU usage, model APIs, and cloud infrastructure to optimize cost and improve efficiency.

  • βœ“ Track AI usage across models, projects, and services
  • βœ“ Monitor GPU and compute utilization for AI workloads
  • βœ“ Identify idle and underutilized AI resources
  • βœ“ Automate scheduling for non-critical AI jobs
  • βœ“ Isolate and analyze AI spend across AWS, Azure, and model APIs
AI Workload Intelligence
Explore AI Intelligence β†’

Advanced Cost Insights

Analyze spend from account level down to resource level to uncover the real cost drivers behind your AWS and Azure bill.

  • βœ“ Drill down from accounts β†’ services β†’ resources
  • βœ“ Track credits, refunds, and commitments in one place
  • βœ“ Analyze reservations & savings plan utilization
  • βœ“ Identify top cost drivers by team, tag, and environment
  • βœ“ Track AI model usage and cost trends across workloads
Advanced Cost Insights
Explore Cost Insights β†’

Continuous Optimization (OptiCloud)

Turn usage data into prioritized actions so teams focus on savings that are real, measurable, and worth implementing.

  • βœ“ Detect high-confidence optimization opportunities
  • βœ“ Prioritize actions based on potential savings impact
  • βœ“ Filter out low-value or noisy cloud recommendations
  • βœ“ Re-evaluate continuously as usage changes
  • βœ“ Track completed actions and realized savings
Continuous Optimization (OptiCloud)
Explore Optimization β†’

Cost Anomaly Detection

Detect unusual spend early, isolate root cause, and alert teams before budget variance escalates.

  • βœ“ Timely alerts for unexpected cost spikes
  • βœ“ ML + rule-based detection for better precision
  • βœ“ Coverage across AWS & Azure accounts, services, and tags
  • βœ“ AI-driven root cause analysis for faster, precise insights
  • βœ“ Reduce time-to-detection and investigation effort
Cost Anomaly Detection
Explore Anomaly Detection β†’

Budget Management

Set granular budgets and forecast spend by account, service, and tags to improve planning and prevent overruns.

  • βœ“ Granular budgets across accounts, services & tags
  • βœ“ Configure threshold and pre-threshold alerts
  • βœ“ ML-based forecasting for accurate planning
  • βœ“ Track actual vs forecast spend across AWS and Azure
Budget Management
Explore Budget Management β†’

Unified Cloud Automation

Automate routine workload lifecycle actions safely to reduce idle compute and GPU spend across AWS and Azure.

  • βœ“ Schedule non-prod compute & GPU workloads
  • βœ“ Apply policy-based automation with guardrails
  • βœ“ Validate actions with dry-run before execution
  • βœ“ Reduce idle compute usage through automated lifecycle controls
  • βœ“ Maintain full audit logs for scoped actions
  • βœ“ Unified automation across AWS and Azure
Unified Cloud Automation
Explore Automation β†’

Smart Resource Management

Get unified visibility and control over cloud resources across AWS and Azure for better utilization and efficiency.

  • βœ“ Visualize resources across AWS & Azure in one view
  • βœ“ Identify idle and over-provisioned infrastructure instantly
  • βœ“ Execute one-click actions from a single console
  • βœ“ Monitor utilization trends for capacity decisions
  • βœ“ Improve reliability while reducing waste
Smart Resource Management
Explore Resource Management β†’

Security & Risk Management

Identify misconfigurations and risky exposure early before they become critical issues.

  • βœ“ Detect exposed resources and excessive permissions
  • βœ“ Continuously scan AWS and Azure configurations
  • βœ“ Alerting via Slack, Teams, and email for quick remediation
  • βœ“ Audit-ready logs for compliance and governance
  • βœ“ Improve compliance posture over time
Security & Risk Management
Explore Security β†’

Real Impact

Proven Results Across Cloud Environments

0–50%
Overall cloud cost reduction

Through optimization, rightsizing, and automation

0%
Idle compute cost reduction

From automated scheduling of non-production workloads

0%
Faster anomaly detection

With proactive alerts and intelligent thresholds

0x
Operational efficiency

With unified visibility and one-click actions

*Based on internal benchmarks and early customer usage data

Unified Platform Capabilities

Built for Scale, Control, and Collaboration

CloudVectra brings onboarding, integrations, access control, and operational workflows into a single platform β€” enabling teams to work from a shared source of truth with transparency and control.

CloudVectra Platform Architecture
Fast Cloud Onboarding

Connect AWS and Azure securely in minutes

Integrations

Slack, Microsoft Teams, ServiceNow, and Jira

Role-Based Access

Define who can see and perform actions across the platform

Audit Trail

Complete activity tracking for compliance and governance

Workflow Automation

Built-in workflows for cost and optimization actions

Unified Alerts

Centralized notifications via email, Slack, and Teams

Frequently Asked Questions

How is CloudVectra different from native cloud cost tools?
Native tools like AWS Cost Explorer and Azure Cost Management provide siloed dashboards and limited cross-account visibility. CloudVectra unifies AWS and Azure data, detects inefficiencies across cost and usage, and turns them into prioritized, actionable recommendations with estimated savings. It focuses on what to change, why it matters, and the financial impactβ€”without manual tagging or complex queries.
Do we need to install anything in our cloud or servers?
No agents or code are deployed in your environments. CloudVectra connects through secure, read-only cloud roles and APIs to access billing, configuration, and usage data without running anything inside your infrastructure.
Is my data secure and private with CloudVectra?
CloudVectra only processes cloud billing, usage, configuration, and metadata needed for optimization. It does not access application data or customer content.
Is it safe to connect CloudVectra to our cloud accounts?
Yes. CloudVectra connects using least-privilege, read-only access. You control permissions during setup and can review or restrict access at any time.
How long does setup take?
Most teams connect their first account in under 30 minutes and start seeing insights shortly after data sync begins.
How does CloudVectra help engineers optimize cloud resources?
CloudVectra converts cost and usage data into prioritized engineering actions like right-sizing, removing idle resources, and optimizing autoscaling or storage. Each recommendation includes estimated cost impact so teams can focus on the highest-value improvements.

Optimize. Automate. Reduce Cloud Waste.

Identify idle spend, eliminate inefficiencies, and take control of AWS, Azure, and AI workloads.