One platform for your AI and data stack

In a 25-minute working session, a Revefi engineer shows you how to track cost, quality, and performance across your LLMs, AI agents, and cloud data platforms. Bring your questions. Leave with savings you can act on.

  • Results in 5 minutes from metadata and telemetry only
  • Attribute AI cost to a team, app, agent, or user
  • Cut Snowflake, Databricks, and BigQuery spend by 20 to 70%
  • Optimize and govern AI and agents
AI Economics
Agent spend
Claude Code Optimizer
Data observability
Warehouse optimization
See every AI dollar, and how much of it you can recover
AI spend · last 30 days
Live
$2.5M
+12% vs prior 30 days
Forecast · next 30d
$2.1M
Spend per call
$29.93
Active users
620
Requests
83K
Failure rate
12.0%
Top moversRecoverable spend
See what every agent costs, and which ones are growing fastest
Spend by agent · last 30 days
$2.6M
Share of spend by agent
Daily spend by agentToken throughput by agent
Write better and efficient code
Claude Code terminal
Repeated work this week
$412

went to 5 tasks Claude Code redid in every session. The top three:

Resolving Google Docs comments one at a time
$176
Writing a new log parser for every investigation
$79
Checking cron health by hand
$68
Fewer turns
Lower bills
Faster sessions
See every pipeline run, and catch failures before they reach downstream
Data observability · NATION lineage, last 24 hours
Success
Failure
98.4%
run success rate
1 failure in TPCH_ALL
Lineage graph for the NATION table: three regional raw, staging and prod pipelines feeding NATION, with one failure in TPCH_ALL
Automated warehouse optimization reduces cost by 20-70%
Warehouse performance report · Adhoc_Workload_WH
$44,369.52
annualized savings
54% reduction
Avg query execution
17 s
was 25.13 s
Avg queuing time
1 s
was 3.71 s
Queries
54,504
was 37,203
Credits used weekly
264.42
at $3 per credit
Dynamic warehouse sizing heatmap: hours optimized vs no change across the week
Revefi has been recognized as a 2025 Gartner Cool Vendor

What you’ll see in your demo

Pixel-art agents working on code, representing AI cost and agent observability

For AI

  • Token cost by team, app, and agent
  • LLM and agent observability
  • Prompt and model optimization
Data center server racks, representing cloud data platform optimization

For Data

  • Automated warehouse optimization
  • Data quality monitoring
  • Query performance tuning

Works with your existing stack

Zero-touch, read-only. No pipeline changes.

Snowflake, Databricks, BigQuery and Redshift
Cloud Data Platforms
OpenAI, Claude, Gemini and OpenClaw
LLMs & AI Agents
ISO 27001, SOC 2 Type 2 and HIPAA compliant
Compliance

Used by data and AI teams at global brands

Fortune 500 Retailer
$5B Public Security Company
$10B Public Software Company
Petabytes of Data
$12B Public Software Company
160K+ tables
Fortune 1000 CPG Company
20+ BigQuery projects

Bring observability to your
AI agents and LLMs.

See Revefi's AI Agent find your token
waste in 5 minutes.

Discover how our customers

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

Agentic AI

Automatic warehouse optimization

Zero-Touch Setup