Oberhahn
Track team AI usage, costs, development sessions, and security risks in one place
About Oberhahn
Oberhahn brings a team's AI usage into one ledger, helping teams review model calls, tools used, and their results. It supports filtering sessions by source, team, project, tag, or consumer, linking Linear, Jira, and GitHub issues, analyzing costs and delivery outcomes, and forecasting run rates by dimension. The platform also checks for credential leaks, environment dumps, and risky commands in real time and against stored history, making it suitable for teams that need unified management of AI costs, development sessions, and security risks.
Best for
Best use cases
View team AI usage in one place
Analyze development session costs
Forecast AI spending
Check sensitive information and risky commands
Features
Unified spending ledger
Aggregate model calls across connected sources and filter sessions by source, team, project, tag, or consumer.
Development issue linking
Link sessions to Linear, Jira, and GitHub issues through branches, commits, session declarations, or AI linking.
Cost forecasting
Use a rolling run rate to project costs, show confidence readings for covered months, and break results down by dimension.
Security risk checks
Check for credential leaks, environment dumps, and risky commands in real time and against stored history, organized by rule, location, and severity.
Pros
- Filter sessions by source, team, project, and more
- Link development issues from Linear, Jira, and GitHub
- Forecast costs by dimension
- Check security risks in real time and retrospectively