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Average 28-35% savings on ML spend - with predictions, not guesswork.

Cost Intelligence

The platform continuously monitors cloud spending, usage trends, and workload behavior. It identifies opportunities to reduce costs and can automate actions such as rightsizing resources, purchasing reserved instances, and moving workloads to spot instances. Machine learning provides recommendations that traditional cost management tools may overlook. These include workload pattern analysis and optimization across multiple cost factors. The platform delivers average savings of 28 to 35 percent on ML infrastructure spending.

Why It Matters

CostIntelligence turns cloud cost optimization into a continuous process powered by machine learning. It analyzes workload patterns and multiple cost factors to identify savings opportunities that traditional cost tools can miss. It also provides savings predictions with clear confidence ranges, giving finance teams numbers they can use for planning and budgeting.

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28 to 35 percent savings found continuously

Traditional cost tools may identify idle resources at a single point in time. ML analysis continuously monitors spending patterns and workload behavior to identify opportunities for rightsizing, reserved instances, and spot instances as usage changes.

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Savings predictions with confidence ranges

Each savings estimate includes statistical confidence ranges instead of simple estimates. This gives finance teams more reliable numbers for budgeting and planning.

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From recommendation to execution

Approved cost optimizations can be applied through Terraform automation. This helps turn recommendations into actual changes instead of leaving them in a backlog.

The Cloudly Advantage

CostIntelligence unifies Cloudly’s entire cost story — where ComputeOrchestrator, ModelCompressor, and LLMGateway each cut costs in their domain, this product finds and executes savings across the whole cloud footprint.
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The universal door-opener

"Let us analyze your cloud bill — we typically find 28–35%" costs the prospect nothing to hear and qualifies everyone with a cloud account — the lowest-friction first meeting in the portfolio.

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Self-funding platform narrative

Documented savings become the budget for MLOps and AIOps engagements — "we'll find the money, then spend it on your transformation" is a CFO story that closes.

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Unifies the cost trilogy

Training (ComputeOrchestrator), inference (ModelCompressor), LLM (LLMGateway), now everything else — Cloudly as the cost-efficiency partner across the entire AI stack.

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Terraform execution pull-through

Automated optimization via Terraform is our IaC practice in action — every engagement generates DevOps consultancy work implementing the recommendations.

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FinOps practice foundation

Cost Explorer and Billing API expertise positions Cloudly for the emerging FinOps consulting market — a service line adjacent to everything we already do.