Stop hemorrhaging IT budget. We deploy machine learning models that uncover hidden cloud waste, predict future expenses, and automate infrastructure rightsizing.
Cloud bills from AWS, Azure, and GCP are notoriously complex, often containing millions of line items per month. Human engineering teams simply do not have the time to manually parse these invoices. As a result, enterprises end up paying astronomical fees for "zombie" servers, unattached storage volumes, obsolete snapshots, and vastly over-provisioned databases.
At PCG Infotech, we bring financial accountability to the cloud through FinOps and Artificial Intelligence. We integrate machine learning models directly into your cloud billing architecture. The AI continuously analyzes your usage patterns versus your provisioned capacity, identifying microscopic inefficiencies across your entire global network and safely automating the reduction of your monthly cloud spend without sacrificing a single millisecond of performance.
The AI monitors your CPU and RAM usage over time. If you are paying for an extra-large server but only using 15% of its capacity, the system automatically safely downgrades the instance to match actual demand.
We hunt down orphaned resources. The AI instantly flags and terminates unattached IP addresses, abandoned block storage volumes, and obsolete load balancers that are quietly draining your budget.
The algorithm analyzes your baseline compute needs to automatically recommend precise Reserved Instance (RI) and Savings Plan purchases, locking in discounts of up to 72% over on-demand pricing.
Stop relying on trailing indicators. The machine learning model forecasts your exact cloud spend for the next 12 months based on historical growth, alerting CFOs instantly if a deployment causes a sudden billing anomaly.