Optimize Cloud Costs
Zero-agent detection and automated recommendations cut waste immediately, without waiting on a tagging cleanup first.
Technology / Cloud FinOps
Cloud Cost Optimization Solutions for Cloud FinOps
From Blind Spend to Governed Practice
Zero-agent detection, real-time anomaly alerts, and 100% spend allocation - tagged or not - in one platform. FinOps teams stop chasing spreadsheets and start acting on what the data actually shows.
Governed practiceZero-agent
Workload spend
Compute, containers, data platforms
Rate coverage
Reserved & Savings Plan tracking
Allocation
100% - tagged or not
FinOps teams stop chasing spreadsheets and start acting on what the data actually shows.
Uncover Hidden Waste in Your Environment
Zolix goes past surface-level cost alerts to find waste at every layer of your cloud architecture - and because allocation doesn't depend on tagging discipline, nothing gets left out of the picture.
Cloud FinOps intelligencePhoto licensed via Unsplash
Understand Cloud Spend
Deep workload-level insight across compute, storage, containers, and data platforms - not just a top-line total.
Quantify Business Value
Allocate cost with precision across teams, products, and customers, so spend can be measured against what it's producing.
Manage Your FinOps Practice
Drive governance, accountability, and cross-team alignment from one shared source of truth.
Kubernetes-Aware Optimization
Rightsizing recommendations that account for actual pod-level and node-level usage, not just cluster totals.
Real-Time Anomaly Detection
Cost spikes get flagged as they happen, against a rolling baseline - not discovered a month later on an invoice.
Ready to Find the Waste Hiding in Your Environment?
The Allocation Problem Most FinOps Platforms Never Actually Solve
Every FinOps platform promises full cost allocation. Almost all of them quietly depend on your tagging discipline to deliver it - and tagging discipline degrades the moment nobody's actively enforcing it. Within a few months, a meaningful chunk of spend sits in an "unallocated" bucket that undermines the whole practice.
Zolix allocates 100% of cloud spend - tagged, untagged, and effectively untaggable - using a detection model that reads usage signals directly, instead of relying on a label someone had to remember to apply. This is the difference between a FinOps practice that works in theory and one that actually holds up as your environment grows and changes.
End-to-End FinOps, Built as One Practice
Every discipline, in one platform
Workload Optimization
Contextualized insight across compute, containers, and data platforms, with automated recommendations ready to act on immediately.
Rate Optimization
Continuous management of Reserved Instance, Savings Plan, and commitment coverage, so discounted pricing gets captured without locking you into long-term risk.
Allocation, Without a Tagging Prerequisite
Cost mapped to teams, applications, or regions from real usage data - tagged resources and untagged ones alike - so allocation coverage doesn't quietly erode over time.
Budgeting & Forecasting
Forecasts built from actual usage trends, with budgeting and alerting tied to your largest cost centers, not a flat historical average.
Unit Economics
Custom metrics tied to long-term business health, so the biggest cost drivers are visible in context, not buried in a blended total.
Data Ingestion
Consolidated cost data from every connected provider and platform, with a consistent schema instead of five different formats to reconcile by hand.
Architecture Visibility
A full view of your cloud architecture, surfacing inefficiencies and performance issues that a cost dashboard alone would never reveal.
Chargeback & Invoicing
Cost data aligned to actual financial reporting requirements, so spend can be attributed to specific stakeholders with real accountability behind it.
Look Past "Fully Utilized"
Find What's Actually Wasteful
Infrastructure that looks fully utilized on a dashboard often isn't, once you look closer - a Spark job processing lopsided data volumes across executors, an unindexed database query burning compute it shouldn't need, a GPU sitting at low inference utilization while still billed at full capacity. Zolix doesn't stop at instance rightsizing. It looks for workload-level inefficiency that a simple "is this instance the right size" check would miss entirely, because the waste isn't in the instance size - it's in how the workload is actually running.
What teams see with Zolix
100% Allocated
of spend - no unattributed or "unallocated" bucket sitting on the dashboard.
24 Hours
to a first cost visibility report across every connected environment.
Full Coverage
from container orchestration platforms to data warehouses, not just standard compute.
FAQ
No. Zolix allocates 100% of spend using usage-based detection, including untagged and effectively untaggable resources, so allocation doesn't erode as tagging discipline drifts.
Yes. Zolix looks at workload-level behavior - data processing patterns, query efficiency, GPU inference utilization - to find waste that an "is this the right instance size" check alone would miss.
Yes. Coverage spans container orchestration, data platforms, and standard compute, all attributed within the same platform.
Coverage is monitored continuously against actual usage, with recommendations that capture discount pricing without committing to risk your usage patterns don't support.
Anomalies are flagged against a rolling baseline in real time, rather than waiting for the spike to show up on a monthly invoice.
No. Zolix connects through read-only access, following each provider's recommended security practices, with no write access required at any point.
Build a FinOps Practice That Doesn't Depend on Perfect Tagging
Connect your environment through read-only access and see 100% of your cloud spend allocated from day one - tagged or not.