An embedded engineering pod with senior data and AI engineers working in your systems, your sprints, and your tooling, with elastic capacity month to month.
The roadmap is not capacity-constrained by ideas
Engineering demand does not arrive in neat, hireable increments. You need two engineers for eight months, then one, then three when a large client onboards. Hiring cannot follow that curve, and freelancers rebuild context every time. Meanwhile a project-based vendor produces exactly the scope in the statement of work and has no incentive to flag the thing they noticed that was not in it.
How a pod works
- A named team of senior data or AI engineers, consistent month to month rather than rotating
- Working in your repos, your ticketing system, your sprints, and your review process
- Capacity adjustable with notice as your roadmap changes, up or down
- Direct access to your team, not routed through an account manager
- A technical lead who owns delivery quality and pushes back when a plan is wrong
- Knowledge documented as it accrues, so context lives in your repo rather than in our heads
How we work
Scope the roadmap and agree what the pod owns versus what stays with your team
Start with two engineers on a real deliverable to establish working rhythm
Adjust composition and size as the roadmap and priorities shift
Review quarterly on shipped outcomes rather than hours logged
Typical stack
Frequently asked questions
Staff augmentation places individuals who slot into your existing team structure and management. A pod is a small team with its own technical lead that takes ownership of a workstream, so you are delegating an outcome rather than directing individuals. If you want to manage the work yourself day to day, staff augmentation is the better fit and cheaper.
Three months, mainly because anything shorter is dominated by ramp-up and neither side gets value from it. After that it runs month to month with notice on capacity changes.
Yes, that is what dedicated means. Pod engineers are not shared across clients, because context-switching is exactly what makes outsourced engineering underperform.
It stays with you by design. Code lives in your repos, decisions are recorded, and runbooks are written as work happens rather than assembled in a final week. We also run handover sessions with whoever takes over.
Go deeper
Scope a pod
Tell us what is stuck in your roadmap and we will propose a pod size and composition.
Start a project