See and control AI spend across your company
Bring AI spend across every team and tool into one view. Understand where spend is growing and make informed decisions about budgets and investments.
Trusted by over 900K developers and 10K companies across the globe
- GitHub
- Microsoft
- Uber
- Intel
[ Spend attribution ]
Get a unified view of AI spend
Bring AI costs across teams into one clear view. Track monthly spend by department, see which teams are driving growth, and plan where to invest next.
AI Spend by Department
Monthly AI spend, last 12 months
$47.4K
Aug '26
- Engineering
- Product
- Sales
- Customer Success
[ Usage Traces ]
Understand what drives AI spend
Break down AI usage by model, tool, reasoning, and more. Use the data to reduce waste, fine-tune policies, and roll out best practices.
| User | Spend by model | Spend by tool | Spend by reasoning |
|---|---|---|---|
Morgan ChenSenior Backend Engineer | $18.4K | Codex | Medium |
Riley DavisDeveloper Experience Lead | $16.8K | Codex | High |
Avery PatelMachine Learning Engineer | $14.2K | Claude Code | High |
Taylor BrooksInfrastructure Engineer | $11.6K | Cursor | Extra High |
[ Cost controls ]
Set budgets and allocate AI spend
Set budgets by tool, team, and individual. Forecast usage before costs run over, and increase investment where productivity and ROI justify it.
Budget Utilization by Tool
Monthly spend against planned budgets
| Tool | Spend | Budget | Utilization |
|---|---|---|---|
| Devin | $24,400 | $20,000 | 122%, $4,400 over budget |
| Claude | $18,540 | $18,000 | 103%, $540 over budget |
| Cursor | $9,120 | $12,000 | 76%, $2,880 remaining |
| ChatGPT | $1,080 | $3,000 | 36%, $1,920 remaining |
Frequently asked questions
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