AI services for engineering teams.
We help engineering teams manage AI access, budgets, and guardrails. We also improve delivery checks and train teams on their own projects.
- Maintain model access and guardrails.
- Review AI usage and spending limits.
- Connect identity, monitoring, and audit tools.
- Check generated code before release.
- Help the team use its tools well.
Choose where to start.
Bring us the part you need help with: ongoing AI management, checks around code delivery, or the team's day-to-day use of AI.
Managed AI
Manage AI access, budgets, and guardrails for coding tools and applications. We assess options such as LiteLLM and Portkey, including supported identity, monitoring, and audit integrations.
Explore Managed AI Tests and releasesPipelines and testing
Add or improve tests, code scanning, preview environments, and release checks for AI-assisted development.
Review delivery checks Training and coachingTeam training
Work through your own repositories with your team: give useful context, check generated code, write tests, and review changes.
Train the teamAdd AI to a workflow you can check.
Use AI to summarize pull requests, suggest tests, or explain an infrastructure plan. Keep required tests, policy checks, and reviewer approvals in the release process.
See pipeline examplesTell us what your team needs.
Bring your tools, cloud setup, and the work you need help with. We'll agree what we can manage or improve and explain the scope.