AI agents that continously observe, learn, and autonomously optimize block storage across AWS, Azure, and Google Cloud, creating a self-governing storage infrastructure.

Block storage is still manual, reactive, and over-engineered, even in modern cloud environments.
Block storage is still manual manual, reactive, and over-engineered - even in modern cloud environments.
Block storage is still manual, reactive, and over-engineered, even in modern cloud environments. As data grows exponentially, traditional management methods are failing. Massive over-provisioning and a lack of real-time visibility have created structural inefficiencies for modern enterprises. Storage bills are growing faster than compute, often becoming the #1 cloud cost item.
Block storage is still manual manual, reactive, and over-engineered - even in modern cloud environments. As data grows exponentially, traditional management methods are failing. Massive over-provisioning and a lack of real-time visibility have created structural inefficiencies for modern enterprises. Storage bills are growing faster than compute, often becoming the #1 cloud cost item.
Total cloud storage budget is completely wasted due to unused capacity.
Provisioned for highest potential spike + buffer that rarely occur, leaving capacity idle for 95% of time.
Native cloud tools allow scale up but do not allow shrink safely due to filesystem risks.
Right sizing requires human intervention, causing delays, toil and resistant to change, making holistic optimization impossible.

An autonomous intelligence platform for cloud block storage orchestration. Predict demand, eliminate waste, and guarantee performance.
An autonomous intelligence platform for cloud block storage orchestration. Predict demand, eliminate waste, and guarantee performance.
Eliminate over-provisioning automatically.
Continuous optimization without service disruption.
Unified control across AWS, Azure, and GCP.
Right-sized resources lower your carbon footprint.
Layer 1: Platform Layer
Layer 2: Autonomous Orchestration
Layer 3: Infrastructure Layer
Skyriq acts as an autonomous control plane that sits between your applications and cloud infrastructure, bridging the gap between provisioned capacity and actual demand.
Skyriq acts as an autonomous control plane that sits between your applications and cloud infrastructure, bridging the gap between provisioned capacity and actual demand.
Continuous monitoring of utilization, IOPS, throughput and latency across your entire estate.
AI driven workload pattern analysis to forecast parameters before they spike.
Zero touch execution of storage changes to right-size capacity instantly.
Define performance guardrails and business rules to maintain service levels.
Full compliance tracking, detailed audit trails and granular access controls.
Predictive intelligence for cost savings, carbon optimization and performance improvement.
A modern and smarter way to run block storage without complexity
A modern and smarter way to run block storage without 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.
Explore our most common questions about Skyriq. We are here to help you feel confident and in control.
Explore our most common questions about Skyriq. We are here to help you feel confident and in control.
Enterprises waste 30-45% of cloud storage spending due to over-provisioning, manual management, and lack of real-time visibility. Engineers size volumes for peak demand and rarely adjust them, leaving massive capacity unused month after month.
Skyriq's OscillAI autonomously optimizes block storage in real time, reducing costs by 50-70% while preventing costly disk-full incidents—without application changes or downtime.
Lets take an example: A mid-size company with 500TB of block storage typically wastes $150K-200K annually. This waste compounds silently—executives don't see it month to month. Traditional cost management tools only identify problems; OscillAI fixes them automatically.
Most teams are live in under 1 hour.
OscillAI deploys as a lightweight agent (2% CPU/RAM overhead) on your infrastructure—no code changes, no data migration, no application restarts. Once connected to your cloud account, the platform begins optimizing within minutes.
What's included:
1) 30-minute setup: API credentials + policy definitions
2) 90-minute monitoring: Real-time visibility into current vs. provisioned capacity
3) Immediate optimization: Autonomous scaling begins, guardrails in place.
4) Quick ROI visibility: See cost reductions on your AWS bill next cycle.
No. OscillAI operates with zero downtime and built-in guardrails:
1) Uses buffer-only resizing and never touches your data
2) Real-time monitoring prevents disk-full failures before they occur
3) Performance remains stable under bursty or unpredictable workloads
4) All actions are auditable; you define custom limits and policies
5) Production-ready on AWS today
Real-world validation:
1) Enterprises run mission-critical databases and AI pipelines on OscillAI-optimized storage
2) No reported performance degradation; benefits from reduced I/O contention
3) Compatible with all AWS volume types: gp3, gp2, io1, io2, st1, sc1
OscillAI is production-ready on AWS today:
✅ AWS EBS (All volume types) - Available now
🔄 Microsoft Azure (Managed Disks) - Available April 2026
🔄 Google Cloud (Persistent Disks) - Available April 2026
What this means:
1) AWS customers: Deploy immediately, see results in days
2) Azure/GCP customers: Join us at launch; early adopters benefit from proven optimization
3) Multi-cloud enterprises: Start with AWS, seamlessly add other clouds when ready
OscillAI typically delivers 50-70% reduction in block storage costs:
By company size:
1) Startups (50TB): $50K-100K annual savings
2) Mid-market (500TB): $400K-1M annual savings
3) Enterprise (5000TB): $2.5M-4.5M annual savings
ROI timeline:
1) Payback period: Typically 3-7 days from deployment.
2) First visible savings: Next AWS billing cycle
3) Recurring benefit: Savings compound monthly
4) Year 1 impact: 300-800x return on solution investment