Varcio platform
One AI-powered platform for AWS, Azure, GCP, OCI, and Kubernetes. 316 detectors find the waste, 140 Apex capabilities explain it, and nothing changes without an approval.
Integrates with your existing stack
The problem
Not because engineers are careless, but because cost data arrives weeks late, lives in four different tools, and never sits in the path of a deploy. Varcio puts visibility, governance, and remediation in one place.
See the full ROI breakdownPlatform capabilities
Nine of the capabilities teams reach for first — part of 51 modules across 14 sections, from AI & Automation and Optimization to Govern and Security.
A natural-language control plane wired into 140 real platform capabilities across 13 dedicated screens — not a chatbot.
Learn more316 active detectors across five surfaces, each finding costed, scored by confidence and effort, and SLA-tracked.
Learn moreRule-based optimization inside your guardrails, in three modes: observe, suggest, and autopilot — within a monthly action budget.
Learn moreA standing team of AI agent seats on a rota that watches the estate, hands work up a reporting line, and brings decisions to you.
Learn moreCost-aware DevOps command centre linking pipelines, deployments, and pull request risk to their cost consequences.
Learn moreDeep operational monitoring for managed databases — connections, storage, latency, replication lag, and query performance.
Learn moreDedicated cost and waste analysis for ML and GenAI workloads across SageMaker, Bedrock, Vertex AI, and Azure OpenAI.
Learn moreContainer cost down to namespace, deployment, and team, with rightsizing from measured utilisation.
Learn moreRequired tags, blocked resource types, cost and risk thresholds, and a central approval queue decidable from Slack, Teams, or Apex.
Learn moreThree competing forecast models chosen by backtest, with honest error metrics, risk scenarios, and change-impact simulation.
Learn moreMeet Apex
Apex is a capability registry, not a chatbot: 140 typed, permission-aware bindings into the platform. Reads run against live workspace data; writes are never executed directly.
What are my top 5 cost drivers this week?
Your top 5 cost drivers: 1. RDS Multi-AZ ($4,230 ↑12%) 2. EC2 On-Demand ($3,891 ↑8%) 3. S3 Deep Archive ($1,220 →) 4. Lambda Functions ($987 ↓3%) 5. NAT Gateway ($654 ↑22%). Total: $10,982 — up 12% from last week. NAT Gateway shows the highest growth rate.
FinOps lifecycle
Observe, understand, prevent, optimize, act and prove — backed by a nine-stage data lifecycle running from Connect through to Emit.
Consolidated spend, trends, anomalies, and ingestion health across every provider.
Attribution, unit economics, and regression analysis — why spend moved and what it bought.
Policies, tag governance, and PR cost review stop expensive changes before merge.
316 detectors surface costed findings, ranked by savings, confidence, and effort.
Approval-gated execution, then verified savings measured against real subsequent spend.
Platform coverage
Five infrastructure surfaces treated as first-class citizens, with 316 active detectors running across them and against the normalised cross-cloud ledger.
The deepest coverage on the platform: 102 active detectors, IAM AssumeRole onboarding with an external ID, and the fullest remediation action set of any provider.
Spend across subscriptions and resource groups with 73 active detectors, budget and policy enforcement, and rightsizing opportunities behind approval gates.
Billing export, asset inventory, monitoring signals, and Recommender output consolidated behind 59 active detectors so teams can act on GCP cost drivers faster.
A first-class surface rather than an afterthought — 38 active detectors over spend and inventory, approval-gated remediation and resource parking, connected with an OCI API signing key encrypted at rest.
Container cost mapped to namespace, deployment, and team, with rightsizing derived from measured utilisation rather than requests alone.
23 detectors run against the normalised ledger to catch what no single provider can see — duplicated environments and redundant workloads spanning clouds.
What teams say
“Within the first week, the AI found about $3.1K/month in unused resources our dashboards never surfaced. The PR cost analysis alone prevented a costly GPU mistake.”
“We replaced CloudHealth, a custom Grafana stack, and three spreadsheets with Varcio. Our FinOps meetings went from 2 hours to 30 minutes.”
“The approval-gated remediation was the killer feature for us. Engineers can act on savings without us worrying about production impact.”
Explore the platform
Every part of the platform has a dedicated page — capabilities, onboarding, ROI, security, integrations, and pricing.
All 51 modules across 14 sections, from AI & Automation to Govern and Security.
View capabilitiesThe eight-step path from first login to live findings and ChatOps approvals.
See onboarding140 capabilities across 13 screens for reporting, forecasting, triage, and approved action.
Explore Apex24 AI agent roles across seven functions, working a rota like a managed-service team.
Meet the teamWaste benchmarks, first-year savings, and how it compares to CloudHealth and Kubecost.
See the numbersWorkflows for platform engineering, finance, SRE, leadership, and compliance.
Browse use casesGitHub, CI webhooks, Slack, Teams, Jira, Linear, ServiceNow, PagerDuty, Opsgenie, Terraform, CLI, VS Code, webhooks, and event buses.
View integrationsCredential handling, audit trails, RBAC, protected resources, and SOC 2 readiness.
Review securityUptime, incidents, reliability objectives, a public status page and a labelled outage-cost estimate.
See monitoringCore Web Vitals, errors and funnels from real visitors, with no cookies and no recordings.
See RUMAnalyse a repository, compare clouds, generate blueprints, then assess and migrate with evidence.
Plan a deploymentAI Infrastructure and AI Economics: every token and dollar traced to the team that owns it.
See AI costThe latest modules and updates across the platform.
See the updateExplorer, Pro, Business, and Enterprise plans with monthly and annual billing.
Compare plansSetup time, cloud coverage, remediation safety, AI models, and evaluation questions.
Read the FAQFAQ
Connecting a cloud account is a short guided step using provider-native trust models. Costed findings appear from your first scan, and policies and integrations can be added as you go.
Yes. AWS uses IAM AssumeRole with no static access keys stored. Azure and GCP credentials are encrypted at rest, never exposed in logs or UI responses, and every write action is approval-gated with immutable audit logging.
Manual write operations pass policy evaluation, blast-radius assessment, and an explicit human approval before they run. Autopilot, if you turn it on, acts only inside the rules you set, sends production-like, public, critical, or deletion-protected resources to approval, and stays within a monthly action budget. Rollout-safety gates, dry-run mode, rollback, and an immutable audit entry cover every step.
Yes — five infrastructure surfaces are treated as first-class citizens, with 316 active detectors across them: 102 on AWS, 73 on Azure, 59 on GCP, 38 on OCI, 14 on Kubernetes, plus 23 cross-cloud detectors that run against the normalised ledger.
Yes — every new workspace gets a 14-day trial of the Business plan. No credit card is required; when the trial ends the workspace moves to Explorer unless you choose a paid plan.
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Read the articleEstimate how much of your bill is likely waste and what recovering part of it is worth.
Open the calculatorJoin teams getting clearer control of cloud spend. Free 14-day Business trial, no credit card, costed findings from your first scan.
