FinOps, Observability and Optimization for your AI and Data

Revefi monitors every query, warehouse, model call, and agent action to find and fix waste.

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AI FinOps & Observability

Gain end-to-end cost visibility, performance monitoring, and governance for every model request, agent action, and multi-step agentic AI workflow across providers, models, agents, and users without changing a single line of code.

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Your autonomous AI Database Administrator

Revefi AI DBA deploys a fleet of platform-native agents that continuously manage FinOps, observability, quality, performance, and governance across your cloud data estate.

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FinOps for AI & Data

Gain full visibility into the FinOps of your LLM and agentic AI deployments, and end-to-end DataOps performance. Make your AI and Data infrastructure fully observable, attributable, and audit-ready.
  • FinOps for AI: Automated insights for financial governance, budgeting, cost allocation, and forecasting of arising costs for your agentic AI solutions, and systems.
  • FinOps for Data Platforms: Automated insights for financial governance, budgeting, cost allocation, and forecasting of data infrastructure, storage, and processing costs. Reduce data spend by 30-70%.
Automated Data Quality
Spend Optimization

Observability for AI & Data

Revefi enables AI and engineering teams to gain visibility into their LLM and agent deployments functionality and operational performance. Revefi also automates and optimizes data engineering workflows, thereby fixing data quality.
  • AI Observability: Provides AI and engineering teams with complete visibility into the functionality and operational performance of their LLM and agent deployments. This continuous monitoring enables teams to track, evaluate, and optimize how intelligent models behave and perform in production environments.
  • Data Observability: Revefi automates and optimizes data engineering workflows to maintain health across the entire data lifecycle. By streamlining these pipelines, it automatically identifies and fixes data quality issues before they can impact downstream applications.

Operations for AI & Data

Automates pipeline monitoring and orchestration to ensure data quality, minimize downtime, and scale system performance with unified visibility.
  • AI Operations: Gain deep operational control over complex AI systems through real-time request tracing across multi-step agent workflows. Continuously analyze performance metrics, latency bottlenecks, and resource utilization to maintain peak operational health.
  • DataOps: Revefi automates data operations, and data pipelines to improve efficiency, accelerate data delivery and reduce operational overhead.
Performance Optimization
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

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.

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AI agents and LLMs.

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waste in 5 minutes.

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  • Got results in 5 minutes
  • Reduced cloud data cost by 30-70%
  • Increased operational efficiency by 10x

Agentic AI

Automatic warehouse optimization

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