Continuous multi-cloud and AI waste detection, deterministic blast-radius simulation, and closed-loop execution. Eliminate idle cloud spend without risking production downtime.
ArthaOps doesn't just estimate. Every cost saving across AWS, Azure, GCP, and Kubernetes is detected with mathematical evidence, simulated for safety, and sealed in a tamper-evident audit ledger.
Unified FOCUS 1.1 scan session initialized
All multi-cloud cost policy rules executed successfully
Remediations verified with zero production risk
Idle A100 GPU cluster (8x VRAM) verified in k8s-ai-workloads
Azure Standard_D4s_v5 orphan compute unmanaged in prod-rg
Cost-center applied to GCP Persistent Disk: pd-ssd-analytics
Autopilot snapshot reversion executed for AWS EBS: vol-0498a
Cloud waste spreads across hundreds of resources, accounts, and providers (AWS, Azure, GCP, Kubernetes, and AI clusters). Spreadsheets, manual tickets, and unexpected billing spikes fail to scale. Fear of breaking production stops engineers from running cleanup scripts. Without automated safety verification, cost leaks continue to drain budget.
ArthaOps replaces manual backlog spreadsheets with a continuous, closed-loop financial feedback loop built directly across your multi-cloud and containerized infrastructure.
Link your cloud footprint in under 5 minutes via agentless read-only connectors for AWS, Azure, GCP, and Kubernetes. Zero agents, zero stored credentials.
ArthaOps continuously ingests FOCUS 1.1 telemetry across all clouds and monitors real-time usage curves. Every surfaced optimization is backed by mathematical evidence.
Review recommendations. Your team validates, risk-checks, and approves every action before it runs.
Approved optimizations execute automatically with pre-flight snapshots across all clouds. Our cryptographic custody ledger logs every change sequentially for 1-click rollback.
Detection coverage
Zero guesswork. ArthaOps evaluates 378 multi-cloud and AI telemetry vectors across AWS, Azure, GCP, Kubernetes, and LLM workloads to identify precise remediation opportunities.
Autonomous cloud control requires absolute reliability. We built a multi-layered safety architecture to secure your cloud and make execution predictable.
100% Immutable Codebase Registry. Detectors are cryptographically verified before execution against your AWS IAM, Azure ARM, GCP IAM, or K8s RBAC roles.
Built with zero-trust security: read-only delegation, agentless execution, and verifiable 1-click rollbacks.
Multi-cloud read-only telemetry scan sweeps
Calculate state change simulation safety bounds
Instant reversion of any optimization change
Cloud organizations across AWS, Azure, and GCP requiring secure cross-account delegation.
Regulated enterprise environments with zero third-party data export mandates.
Engineering teams accountable for infrastructure reliability & automated rollbacks.
EKS & K8s clusters requiring namespace-level CPU & memory request optimization.
Connection is established via AWS STS AssumeRole, Azure ARM, and GCP Identity with ExternalID secrets. No permanent API secret keys are requested or stored.
Operates 100% agentless utilizing target cloud provider API layers. No daemon scripts to install, configure, or run inside production instances.
Recommendations undergo preflight simulations to calculate impact before execution. The platform calculates risk boundaries before making cloud configuration shifts.
Every recommendation, review step, and action is sealed sequentially to a local cryptographic SHA-256 hash-chained ledger to ensure compliance audit trails.
Remediations preserve full prior resource state logs. If a configuration change causes issues, a single click restores the original state instantly.
All cost metadata and audit records are encrypted at rest via AES-256 (KMS) in sovereign AP-SOUTH-1 data centers. Zero raw data export.
Start free to analyze your environment. Upgrade anytime for continuous cost scanning and automated safety governance.
Read-only cloud visibility and leak surface diagnostic scans.
Shift-left developer protection and guided manual remediation.
Continuous autonomous cloud cost reclamation with zero human fatigue.
Sovereign cloud governance substrate for complex institutional organizations.
ArthaOps deploys natively into your private AWS VPC or cloud VNet with zero external telemetry egress and custom IAM policy boundaries.
Evaluate ArthaOps in your own cloud environment (AWS, Azure, GCP). If it doesn't provide immediate measurable financial value during your evaluation, contact us within 14 days for a 100% full refund.
No, strictly never. Initial discovery and continuous scans operate 100% read-only across all clouds via AWS STS AssumeRole, Azure ARM Reader, GCP Workload Identity, and Kubernetes read-only ClusterRoles (List, Describe, and Get APIs only). Remediation only executes if you explicitly authorize and trigger Autopilot with dry-run verification.
The cloud became autonomous years ago.
Financial governance never did.
Until now.
(AWS · Azure · GCP · K8s)