A Dedicated Team That Behaves Like Your Own Team
A standing pod of engineers, QA and design working only on your product, inside your repository, your ticketing system and your sprint cadence, reporting to your lead rather than an account manager.
What is the dedicated development team model?
A dedicated development team is a fixed group of engineers assigned exclusively to one client, billed monthly per person rather than per project. Unlike fixed-scope contracting, the scope can change every sprint without a change order; unlike freelance hiring, the team includes QA, DevOps and design and is managed as a unit. Anviam pods work in your repository, your ticketing tool and your sprint cadence, report to your technical lead, and run on a rolling one-month term with a two-week replacement window.
- Time to onboard
- 5–10 business days
- Engagement models
- Full-time, part-time or project-based
- Minimum term
- 1 month, rolling
- Overlap hours
- 4+ hours with US, UK and AU time zones
- Trial period
- Two-week replacement window
- Reporting
- Direct access, your tools, your standups
Fixed Scope Punishes Changing Your Mind. Dedicated Teams Do Not.
Fixed-scope contracts are the right instrument when requirements genuinely will not move: a defined integration, a migration with a known end state, a marketing site. They are the wrong instrument for product development, because every discovery becomes a commercial negotiation. Teams end up building what the contract says rather than what the users need, and both sides get defensive about scope.
A dedicated pod removes that friction by changing what you are buying. You buy capacity, and you decide each sprint what it works on. That only works if the team is genuinely yours: same standups, same board, same code review standards, no separate agency process running in parallel. It also requires you to supply product direction, which is the one real cost of the model and the reason it suits teams with a product owner and not teams hoping to outsource the thinking.
Pods We Commonly Assemble
A pod is sized to the work rather than sold as a package. These are the shapes that recur.
Product Pod
Tech lead, two to four engineers, QA and a part-time designer. The default for building and running a product.
Mobile Pod
iOS and Android or cross-platform engineers with QA on a real-device matrix, plus release management.
AI & Data Pod
ML engineer, data engineer and MLOps, sized for teams putting models into production rather than notebooks.
Platform & DevOps Pod
Cloud and platform engineers for infrastructure as code, CI/CD, observability and cost control.
QA Pod
Manual and automation engineers building a regression suite and CI quality gates around an existing product.
Single Embedded Specialist
One senior engineer joining your existing team where a full pod would be more than you need.
How the Pod Plugs Into Your Setup
When a Dedicated Team Is the Right Choice
Ongoing Product Work
A roadmap that keeps going, where every fixed-scope contract would need renegotiating.
Urgent Capacity Gap
A committed date and not enough engineers, where hiring will not land in time.
Missing Specialism
You need ML, mobile or DevOps depth that does not justify a permanent hire yet.
Scaling Post-Funding
Capacity needed immediately while a permanent hiring process runs in parallel.
Maintaining While Building
An existing product needing upkeep while your team focuses on the next thing.
Follow-the-Sun Coverage
Extending working hours so overnight progress and earlier incident response are possible.
The Terms We Put in Writing
Most dissatisfaction with offshore teams comes from things nobody agreed in advance. These are ours, contractually.
Talk to Our Team- You interview every engineer before they join and can decline anyone
- Named engineers are dedicated to you only; nobody is split across clients
- Replacement within two weeks at our cost if someone is not working out
- Rolling one-month term with 30 days' notice and no exit fee
- Code in your repository, credentials in your accounts, from day one
- Four or more hours of daily overlap with your working hours as standard
How We Stand a Team Up
Define the Shape
A call on your roadmap and gaps, then a proposed pod composition with reasoning and monthly cost.
Meet the Candidates
You interview each proposed engineer and can decline any of them. No blind allocation.
Onboard in 5–10 Days
Access, environment setup, codebase walkthrough and a first small ticket shipped in week one.
Run in Your Cadence
Your standups, your board, your reviews. We add a monthly written health check on delivery.
Scale or Stop
Add or remove people with 30 days' notice. No exit fee, no lock-in, no code held hostage.
Common Questions About Dedicated Development Teams
How is a dedicated team different from staff augmentation?
Staff augmentation adds individuals into your existing team and structure; a dedicated team is a self-contained pod with its own tech lead and QA that can own a workstream end to end. If you have strong technical leadership and just need hands, augmentation is cheaper and simpler. If you need a workstream taken off your plate including its quality and delivery management, a pod is the better instrument. We offer both and will say which fits your situation.
What does a dedicated team cost?
Pricing is per person per month by role and seniority, quoted as a total monthly figure for the pod so there are no hidden extras. That figure includes management overhead, equipment, leave cover and the QA and DevOps contribution, which is where comparisons against a bare freelance rate become misleading. A typical product pod costs materially less than the equivalent onshore team, and we put the full monthly number in the proposal rather than a rate card.
Can we change the team size mid-engagement?
Yes, with 30 days' notice in either direction. Scaling up depends on availability of the right profile, so we prefer a few weeks' warning where possible. Scaling down is straightforward and carries no penalty. Several clients deliberately flex a pod up for a delivery push and back down afterwards, which is one of the model's genuine advantages over permanent hiring.
How do we know the team is actually productive?
Because they work on your board, in your repository, in your sprint. You see the same tickets, commits, pull requests and burndown that you would for an in-house team, with no intermediary reporting layer. We add a monthly written health check covering velocity trend, blockers and any risks we see, but the primary evidence is the delivery itself rather than a status document we produce about ourselves.
What happens if an engineer leaves or is not a good fit?
We replace them at our cost, targeting two weeks. Because engineers are our employees rather than contractors sourced per project, attrition is lower than the market pattern for offshore work, and knowledge transfer happens internally when someone does move on. We also require documentation and shared code ownership within the pod specifically so a single departure does not remove the only person who understands a subsystem.
Do we own the code and can we bring the work in-house later?
Yes, and that is a normal end state rather than a failure. The repository, cloud accounts and third-party services are yours throughout, we avoid proprietary frameworks, and we maintain architecture documentation as we go specifically so a handover is possible. Some clients run a pod for years; others use one for eighteen months while hiring, then transition. Both are fine.