A dedicated development team
that owns the outcome, not just the tickets

Staff augmentation places individual engineers into your existing team, under your management and process. A dedicated development team is a self-contained pod, typically a lead, two to four engineers, a designer as needed, and QA, that owns a product or a workstream end to end. You set the priorities and the roadmap; the pod runs its own delivery, standups, and code review. It is the right model when you want an outcome delivered rather than extra hands to direct day to day.

A typical pod is a technical lead who owns architecture and delivery, two to four full-stack engineers, a designer engaged as the work needs, and QA running alongside every sprint. For larger engagements we add a dedicated project manager and specialist roles such as a data engineer or a DevOps engineer. We size and shape the pod to the work during scoping, and it can scale up or down as the roadmap changes.

A predictable monthly rate per pod, based on its size and composition, agreed before we start. It is not hourly and there are no per-ticket charges. You know your monthly cost, and you can change the pod size with notice as your roadmap grows or contracts. This is a different commercial model from our fixed-price project work, and it suits a continuous roadmap rather than a one-off build.

You own the what: priorities, roadmap, and acceptance. The pod owns the how: sprint planning, estimation, standups, code review, and delivery. In practice you work with the technical lead, who is accountable for the pod's output and translates your priorities into delivered software. Most clients meet the lead a few times a week and see working builds every two weeks.

A pod can usually be assembled and onboarded within two to four weeks of agreeing scope. Because the engineers come from our existing bench rather than a hiring process, and they already share standards, tooling, and working practices, ramp-up is faster than assembling a team from individual hires.

Yes. The engineers we place ship LLM features, RAG pipelines, and agentic workflows to production, not just CRUD. It is how we built our own products, Tully AI and Mebag. If your roadmap includes AI, the pod already has the skills, including prompt versioning, evaluation harnesses, retrieval tuning, and the cost and latency judgement to know when a model is the wrong tool.

We replace them, at our cost and with continuity handled on our side. Because the pod shares a codebase, standards, and documentation, a change of individual does not reset the engagement. This is a structural advantage of a pod over a set of individual contractors: the knowledge lives in the team, not one person.

You do, completely. All source code, infrastructure, documentation, and IP transfer to you continuously as the work is done, typically into your own repositories. There is no lock-in. If you later build an in-house team, they inherit a documented codebase and can take over.

We are based in Pakistan and agree a fixed block of real-time overlap hours with each client at the start of the engagement. UK and EU mornings overlap naturally; we run afternoon overlap with Australia; and we hold a defined overlap window with US timezones. Standups, planning, and reviews happen live within that window, and the rest of the work is asynchronous over Slack and the repo.

Yes. We start with a short audit of the codebase and infrastructure so the pod understands what it is inheriting, then take over delivery: maintaining, fixing, and building new features. This is common when an internal team has been lost, an agency relationship has ended, or a product has outgrown a founder building it solo.