Dedicated Team Pods
Embedded, AI-accelerated engineers inside your codebase.
Embedded in your codebase
Scales with your roadmap
AI-accelerated by default
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Dedicated Team Pods
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What's included
Everything needed to extend your team without the hiring cycle.
Senior engineers matched to your stack
Embedded in your existing repo & workflow
Flexible scale up or down monthly
AI-accelerated delivery practices included
Direct standups with your team
No long-term lock-in
Who it's for
Engineering leaders who need senior capacity now — a specific skill gap, a roadmap crunch, or a team that's stretched too thin — without running a multi-month hiring process.
Pods typically scale from 2 to 6 engineers.
Our approach
1
Scope the gap
What skills, and how much capacity, your roadmap actually needs.
2
Embed the pod
Senior engineers join your repo, tools, and standups directly.
3
Scale as you go
Add or release capacity monthly as the roadmap shifts.
See it in action
Disaster Response
WLOG
A government client's forecasting platform, scaled with an embedded, flexible engineering pod.
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