Cloud costs that
optimize themselves.
Always on. Always intelligent.
Aquila FinOps brings Continuous Monitoring and Continuous Optimization (CMCO) to your multi-cloud estate. This delivers real-time AI intelligence, role-aware insights, and zero attribution guesswork.
Trusted by enterprises across industries
The Cloud Cost Crisis
Three forces draining your cloud budget
Without continuous intelligence, enterprises lose millions to invisible inefficiencies every quarter.
Runaway AI & GPU Spend
LLM inference, GPU training jobs, and AI pipeline costs are unpredictable and nearly impossible to forecast with existing tools. Teams cannot attribute which products, teams, or experiments are driving AI cost growth until the invoice arrives.
Runaway AI & GPU Spend
LLM inference, GPU training jobs, and AI pipeline costs are unpredictable and nearly impossible to forecast with existing tools. Teams cannot attribute which products, teams, or experiments are driving AI cost growth until the invoice arrives.
Runaway AI & GPU Spend
LLM inference, GPU training jobs, and AI pipeline costs are unpredictable and nearly impossible to forecast with existing tools. Teams cannot attribute which products, teams, or experiments are driving AI cost growth until the invoice arrives.
Platform Capabilities
One platform. Three disciplines.
Continuous cloud intelligence.
Aquila’s FinOps Explorer gives every stakeholder a real-time, unified view of cloud spend; it then goes further with AI-driven optimization and automated governance that never sleeps.
Real-Time Multi-Cloud Spend Visibility
A single live dashboard unifies AWS, GCP, and Azure billing by cloud, domain, team, and resource. This ensures that finance and engineering always share one source of truth.
Anomaly Detection & Instant Alerts
ML models detect unusual spend patterns the moment they emerge, preventing them from compounding. Alerts are routed to Slack, email, or PagerDuty with full context attached.
Tag-Based Cost Attribution
Automated tagging enforcement maps every dollar to a team, product, or environment. This eliminates the attribution deadlocks that typically slow down finance reviews.
AI Rightsizing Engine
By analyzing 90 days of utilization patterns, the system recommends right-sized instances and services across all clouds. This typically recovers 20% to 40% of compute spend without impacting performance.
Commitment Coverage Advisor
Intelligently manage Reserved Instances and Savings Plans across AWS, GCP, and Azure to maximize discount coverage. These plans are updated continuously as workload patterns shift.
Waste Identification & Reclamation
Surfaces idle resources, orphaned volumes, and zombie workloads across all clouds with one-click remediation workflows. This ensures that savings move from insight to action in minutes.
Automated Governance Policies
Define budget thresholds, resource lifecycle rules, and tagging guardrails that self-enforce 24/7. This eliminates manual review cycles, policy drift, and month-end surprises.
Showback & Chargeback Reports
Generate finance-ready reports with full team-level attribution, variance analysis, and cost forecasts in one click. Turn cloud invoices from a mystery into a management tool.
Continuous Compliance Monitoring
Tracks resource configurations against internal policies and cloud-provider best practices in real time, flagging violations the moment they occur, not the next audit cycle.
54%
$2.3B
14 days
99.9%
Real Results
Enterprises that stopped guessing
and started optimizing
JK Cement · Manufacturing
54%
Reduction in cloud infrastructure costs
JK Cement’s multi-cloud estate was accumulating 60% over-provisioned compute across AWS and Azure. Aquila’s CMCO engine identified idle workloads, enforced auto-shutdown policies, and provided finance with accurate team-level attribution to eliminate $1.2M in annual waste.
- Multi-Cloud
- Rightsizing
- Attribution
FX Innovation · Technology Services
38%
Reduction in AI/ML infrastructure waste
FX Innovation’s AI workloads were scaling beyond forecasts, with GPU clusters running 24/7 despite 40% idle time. Aquila’s AI Spend Gap analysis pinpointed $840K in annual waste and automated scheduling policies that reclaimed efficiency without disrupting model pipelines.
- AI/ML Costs
- GPU Optimization
- Governance
Aquila gave us the first honest picture of what our cloud was actually costing us, and who was responsible. Within two quarters, we’d cut spend by over half and our finance team stopped dreading the monthly AWS invoice.
Rajiv Mehta
VP of Infrastructure, JK Cement
Your cloud costs are talking.
Are you listening?
Join enterprises using Aquila’s CMCO platform to turn cloud spend from a liability into a competitive advantage.