AI agents that continously observe, learn, and autonomously optimize block storage utilization, performance and cost creating a self-governing storage infrastructure.
Block storage is still manual, reactive, and over-engineered — even in modern cloud environments.
Skyriq runs a closed-loop system that continuously observes, learns, decides, and acts with minimal human involvement.
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Discover new storage nodes, volumes, and workloads across clouds—automatically onboarding them into its intelligence fabric without manual configuration.
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Measures capacity, utilization metrics, IOPS, throughtput, performance, and behavior and understands workload patterns, growth trends, and performance signals.
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Determines optimal capacity using Skyriq's ML model, identifies risks, and tradeoffs across performance, cost, availability, and sustainability automatically.
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Execute changes in real time—scale up/ shrink down, rebalancing resources, and enforcing policies without downtime or app changes and no human involvement.
A modern and smarter way to run block storage without the complexity
Continuous, real-time optimization of capacity and performance.
Expand and optimize storage safely with no service disruption.
Unified across AWS, Azure, and GCP
Up to 70% cost reduction through continuous optimisation
Intelligent agents.
No application changes
Right sized resources,
lower environmental input.
Why Skyriq stands apart from traditional and cloud-native storage solutions.
Explore our most common questions about Skyriq. We are here to help you feel confident and in control.