Built for FinOps, Engineering & Security Teams

AI-Driven Cloud Platform Automate, Optimize, and Secure Cloud, AI & GPU Workloads

CloudVectra unifies cost visibility, savings recommendations, safe automation, and security risk management across AWS, Azure, OpenAI, and GPU workloads.

Book a Demo See How It Works

AWS + Azure FinOps Engineering Security

OpenAI-Powered Intelligence

An intelligence layer for cloud cost, automation, and security decisions

CloudVectra uses AI to explain anomalies, answer cloud questions, tailor reports by persona, and help teams turn recommendations into tracked action.

Book a Demo Explore AI Intelligence

Analyze Anomaly

Turn spikes into root-cause context

Analyze unusual cloud spend with likely drivers, impacted services, and recommended follow-up actions.

AI Chat

Ask cloud questions directly

Explore spend, resources, optimization opportunities, security findings, and AI workload trends in plain language.

Persona Reports

Shape insights for each team

Generate focused views for finance, engineering, security, and leadership from the same trusted cloud data.

Agentic Workflow

Move recommendations into ownership

Help triage, prioritize, route, and track savings, automation, and security actions through completion.

Built for Modern Cloud Teams

Why teams choose CloudVectra

CloudVectra helps teams take control of AWS and Azure environments, turning complexity into clarity with visibility, automation, optimization, and security intelligence.

Unified Cloud Visibility

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

Intelligent Automation

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

AI-Powered Optimization Insights

AI-driven insights and actions to optimize cost, efficiency, and resolve issues.

Security & Operational Intelligence

Monitor risks, enforce policies, and maintain full operational visibility with auditability.

Platform Capabilities

Unify Cloud Cost, Compute, Automation, and Security

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

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.

Track AI usage across models, projects, and services
Monitor GPU and compute utilization for AI workloads
Identify idle and underutilized AI resources
Automate scheduling for non-critical AI jobs
Isolate and analyze AI spend across AWS, Azure, and model APIs
AI/ML Security & Public Exposure Detection

GPU compute

OpenAI API

AI/ML services

GPU automation savings

Schedule idle workloads safely

$38K

Detect idle GPU

Apply schedule

Track savings

Idle GPU candidate

$12.4K

Rightsize opportunity

9 workloads

Security scan

Review 4

Explore AI Intelligence

Advanced Cost Insights

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

Drill down from accounts → services → resources
Track credits, refunds, and commitments in one place
Analyze reservations & savings plan utilization
Identify top cost drivers by team, tag, and environment
Track AI model usage and cost trends across workloads

Total cloud spend

$642K

Top driver

Compute 34% of spend

RI/SP coverage

71% Commitments tracked

Credits & refunds

$18.2K Unified view

Account to service drill-down

Team and tag filters

Resource-level cost context

Explore Cost Insights

Continuous Optimization (OptiCloud)

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

Detect high-confidence optimization opportunities
Prioritize actions based on potential savings impact
Filter out low-value or noisy cloud recommendations
Re-evaluate continuously as usage changes
Track completed actions and realized savings

High impact

Rightsize compute instances

$18.4K

Idle resource

Remove unused volumes

$2.3K

GPU workload

Schedule dev training jobs

$38K

Explore Optimization

Cost Anomaly Detection

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

Timely alerts for unexpected cost spikes
ML + rule-based detection for better precision
Coverage across AWS & Azure accounts, services, and tags
AI-driven root cause analysis for faster, precise insights
Reduce time-to-detection and investigation effort

Spend spike

+38%

AI insight

New high-cost GPU compute instance i-3883xx detected.

Detailed root cause analysis

Impacted service

GPU compute

Notifications

Slack/Team, Email

Next action

Create task

Explore Anomaly Detection

Budget Management

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

Granular budgets across accounts, services & tags
Configure threshold and pre-threshold alerts
ML-based forecasting for accurate planning
Track actual vs forecast spend across AWS and Azure

Platform team

On track

ML workloads

Watch

Sandbox accounts

At risk

Selected: ML workloads

30-day trend

Explore Budget Management

Unified Cloud Automation

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

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

Scheduled batches

18 Non-prod + GPU

Dry-run checks

42 Validated actions

Audit events

100% User actions logged

GPU dev shutdown

10:00 PM weekdays

Scheduled

QA restart window

Sunday maintenance

Dry-run

Audit log: Sam Admo created a GPU schedule.

Explore Automation

Smart Resource Management

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

Visualize resources across AWS & Azure in one view
Identify idle and over-provisioned infrastructure instantly
Execute one-click actions from a single console
Monitor utilization trends for capacity decisions
Improve reliability while reducing waste

Explore Resource Management

Security & Risk Management

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

Detect exposed resources and excessive permissions
Continuously scan AWS and Azure configurations
Alerting via Slack, Teams, and email for quick remediation
Improve compliance posture over time

Internet exposure

Identity access

AI/ML workload

Sensitive data path

Alert routed

Critical

Public access path

High

Over-permissive role

Medium

AI service policy review

Notifications

Action plan

Track closure

Explore Security

Real Impact

Proven results across cloud environments

0-50%

Potential cloud cost reduction

Through savings recommendations, rightsizing, and automation

Idle compute and GPU savings

From automated scheduling of non-production and AI workloads

Daily

Anomaly and risk reviews

With cost, security, and AI workload context surfaced for action

Auditable user actions

For automation, resource actions, and workflow activity

Based on internal benchmarks and early customer usage data. Results vary by environment, workload, and implementation scope.

Governance & Operations Layer

Built for scale, control, and collaboration

CloudVectra connects cloud onboarding, access control, auditability, notifications, and task workflows so teams can move from insight to accountable action.

Role-Based Access

Give finance, engineering, leadership, and security teams the views and actions they need.

Audit Trail

Track user activity across automation, resource actions, approvals, and workflow changes.

Workflow Integrations

Route work through Jira, ServiceNow, Slack, Teams, and email-based notifications.

Safe Automation Controls

Use dry-runs, schedules, guardrails, and ownership checks before actions are applied.

Shared Decision Layer

Align cost, optimization, automation, and security work from a single operational view.

Secure Cloud Onboarding

Connect AWS and Azure with controlled access and no agents deployed in your workloads.

FAQ

Frequently asked questions

Practical answers about onboarding, data access, automation, AI workload visibility, and security workflows.

How is CloudVectra different from native cloud cost tools?

Native tools provide useful cloud-specific dashboards, but teams still need to connect cost, utilization, recommendations, automation, and security work. CloudVectra unifies AWS and Azure data and turns it into prioritized actions with savings context, ownership, and workflow tracking.

Does CloudVectra support OpenAI and GPU workload cost tracking?

Yes. CloudVectra helps teams view OpenAI usage and cost, connect AI workload spend to cloud infrastructure, and identify GPU optimization opportunities such as idle resources, rightsizing, and scheduling candidates.

How does CloudVectra automate actions safely?

CloudVectra supports controlled automation using schedules, dry-run validation, scoped permissions, ownership checks, and audit trails. Teams can automate routine non-production and GPU workload actions while preserving visibility and accountability.

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 processes cloud billing, usage, configuration, and metadata needed for cost optimization, automation, and security insights. 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.

Get started

Ready to optimize, automate, and secure your cloud?

See how CloudVectra turns AWS, Azure, OpenAI, and GPU workload data into savings recommendations, safe automation, and prioritized risk workflows.

Book a Demo Request Pricing