FinOps, Observability and Optimization for
your AI and Data

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Case Study

A Fortune 500 Insurer using Snowflake

Snowflake warehouses, 711
Snowflake Warehouses
50% spend reduced
Spend Reduction
Results in under 48 hours
Results in < 48 hours

"With Revefi, the value of FinOps and Data Observability became clear within just a few months. They identified savings, improved quality and more than paid for themselves in no time."

Louis DiModugno
Louis DiModugno
Global CDO
Fortune 1000 Company
Read Case Study
5 Minutes
Average time to first insight.
30-70%
Reduction in Snowflake and cloud data costs.
665K+ Automated Monitors
Overall automated observability without overheads.
100%
Projected annual ROI.
27%
Less Snowflake spend
5×
Beyond the 5–6% expected
3 Weeks
To deliver, start to finish
Expected vs. Actual Savings
30
20
10
0
5-6%
Expected Savings
27%
Actual Savings
~$1M
Saved during the free trial
25%
Of production covered so far
>$3M
Projected across all production
Savings Unlocked
$3M
$2M
$1M
$0M
$1.0M
Free Trial (25% env)
$3.0M
Projected savings
100% Unified
All Data-SLAs and RCA
3x Increased
Interoperability between systems & tools
4 Platforms
In one interface: BigQuery, Looker, Composer & Gemini
Revefi connected to BigQuery, Looker, Composer and Gemini
8x
Increase in AI spend in less than 4 months
25K+
Users and increasing
200M+
Requests monthly and increasing
10K+
AI services and increasing
How Revefi Works
1
Automated Monitoring
AI usage, spend and governance
2
Automated Alerting
Anomaly detection, cost spikes and usage drift
4
Actions
Apply and save with one-click optimization
3
Recommendations
Spend optimization, budgeting and governance rules
Annual AI spend, nine figures
Annual AI Spend
Seven figures in savings identified
Savings Identified
Results in three weeks
3 weeks

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How does Revefi compare?

Revefi is the only solution that unifies AI Observability, FinOps, DataOps, Performance Optimization, Data Quality and Data Observability.

Capability
1. Agentic AI
2. FinOps and Data Cost Optimization
3. Performance Optimization
4. Usage Observability
5. Data Observability and Quality
6. DataOps
7. AI FinOps
8. AI Observability
9. Configuration
10. Autonomous Remediation
11. ROI
12. Setup Time
13. Time to Value
14. Scale

15. Self-Tuning

16. Self-Driving

Revefi
Autonomous
Automated
Automated
Automated
Automated
Automated
Yes
Yes
Automated
Yes
Greater than 100%
5 minutes
Hours or Days
Enterprise grade

Yes

Yes

Others
On-premises or Managed SaaS
Basic spend alerting only
Incident detection only
No
⚠️
Manual
No
-
⚠️
Limited
Manual
No
⚠️
Limited
⚠️
Weeks-Months
2 weeks or Months
Limited to small environment

No

No

Note:
All the information mentioned in the table above are taken from publicly available sources, social media channels, and other 2nd / 3rd party content syndication platforms. Revefi makes no such claims whatsoever.