Observe: Engineering Intelligence
See how AI is changing the way your team ships
Connect AI usage to your engineering work, from pull requests to reviews, so you can see where AI is helping your team ship faster and where it's getting in the way.
GitHubClaude CodeCodexCursor
See what AI is actually shipping.
Token counts don't tell you much about engineering. Tokenize shows the output: the code, commits, and pull requests your team's AI work turns into.
- Commits and lines added and removed
- How often AI edits are accepted
- Breakdowns by language across your codebase
- The pull requests AI work went into
Know where engineering spend goes.
Split AI spend by branch, skill, and effort level to see which projects, workflows, and settings drive cost, and spot the outliers before they add up.
- Spend by branch and project
- The skills doing the most work
- Cost by effort level
- Usage by client, from the CLI to the IDE
Catch what's slowing your team down.
When an AI tool keeps failing, people lose time and money on retries. Tokenize tracks reliability across the org so you can fix problems before they show up on the bill.
- Which tools fail, and how often
- The API errors behind each failure
- Expired credentials and broken integrations, surfaced
- Scheduled agents stuck retrying overnight
- GDPR
- SOC 2 Type II
- SAML SSO
- SCIM Provisioning