From 31 days to 3. Implement cloud savings before they bleed your budget.
The industry average for implementing a savings recommendation is 31 days — CloudYali cuts it to 3. Giving engineers the full context they need: ownership, rightsizing, idle status, and effort vs. impact.
Trusted by innovative companies worldwide
Trusted by innovative companies worldwide
Trusted by innovative companies worldwide
Why cost savings die in spreadsheets — and how CloudYali turns them into action
The average FinOps recommendation takes 31 days to implement. CloudYali compresses that to 3 by connecting the insight to the action.
See the Waste
CloudYali identifies idle resources, rightsizing opportunities, and commitment gaps across AWS, Azure, GCP, and AI services.
Understand Full Context
Every recommendation comes enriched with ownership data, activity verification, utilization proof, and effort-vs-savings scoring. No more guessing if it's safe to act.
Route to the Right Engineer
Recommendations auto-route to the team that owns the resource, via Slack or Jira, with all the context they need to act in 60 seconds.
Track Implementation
Track every recommendation from identification to implementation. Know exactly where each savings opportunity stands.
Measure Real Savings
Measure realized savings vs. identified savings. See actual dollar impact, not just projected numbers.
Celebrate Wins
Recognize teams that deliver results with leaderboards, achievement badges, and monthly scorecards that turn cost optimization into a team challenge.
Every tool you need to close the savings loop
From contextualized recommendations to implementation tracking, CloudYali gives your team the features to act fast and prove ROI.
Contextualized Recommendations
Every recommendation includes rich context: who owns the resource, whether it's truly idle (verified by CloudTrail + metrics), and an effort-vs-savings score so engineers know where to start.
Anomaly Detection
Catch anomalies early and act instantly. CloudYali will alert you for your team to go and resolve issues faster.
Tag Intelligence
Normalize tags, catch typos, identify untagged resources, and auto-resolve resource ownership. Tags power recommendation routing — the better your tags, the faster savings get implemented.
Budget Allocation
Allocate flexible budgets to teams, projects or departments based on historical data and business context.
AI Cost Tracking
CloudYali gives you visibility into your AI costs and integrates with the AI providers to help you stay ahead of spend.
Timely Alerts
Seamlessly integrate your cloud providers, communication and development tools to create a unified experience.
Connected to your clouds. Integrated into your workflows.
CloudYali connects to your cloud providers for cost data, your identity provider for team ownership, and your engineering tools for action.
Results that speak for themselves
CloudYali customers implement savings faster, recover more, and build accountability across teams.
90%
MTTR Compression
Average reduction in time to implement savings recommendations
10x
Faster Savings Execution
Recommendations reach the right engineer in minutes, not weeks
<60s
Time to Action
From recommendation to assigned, tracked, and in progress
What our customers say
Finally, real visibility into our cloud costs. Before CloudYali, our AWS bill was a black box. Now I can see exactly where every dollar goes, broken down by service, team, and project.
Ajay Potnis
CEO at DataOceano
Stop generating reports nobody acts on.
See how CloudYali turns identified savings into implemented savings — with full context, smart routing, and team engagement built in.