Websites & Apps
A dedicated AI and engineering team that works only on your roadmap.
For product and engineering leaders who need senior capacity now, without months of hiring. A pod of engineers, AI engineers, QA, a designer and a delivery lead joins your tools and ceremonies, works to a written operating rhythm and scales up or down by agreement.
- A person replies within one business day
- A plan you can act on
- You own every asset
- Time to first results
- First sprint in 3 to 6 weeks
- Engagement
- Monthly, scaled by agreement
- Pod roles
- Engineers, AI, QA, design, lead
- Best for
- Roadmaps bigger than the team
Reviewed by Noor Khan
Dedicated pod· Your roadmap, your tools
SampleA senior pod of a delivery lead, an engineer, an AI engineer, a QA engineer and a designer is approved, gets access to your GitHub, Jira and Slack, moves roadmap tickets to Shipped on your sprint board, and reports a monthly scorecard that's on track.
- Senior pod assembled
- Joins your tools
- Sprint ships your roadmap
- Monthly scorecard
Illustration with sample data. Your version uses your accounts and numbers.
Brands Noor has worked with
Overview
What is a dedicated development team?
A dedicated development team is a group of engineers and specialists who work full time on one client's product, under that client's priorities, for an open-ended period. You direct the work, and the provider handles recruitment, retention and delivery management. Staff augmentation adds individuals to your existing team, while a dedicated team arrives as a working unit with its own lead and quality process. Noorscale runs senior pods of engineers, AI engineers, QA, a designer and a delivery lead, set up inside your tools with a written operating rhythm.
See it in action
What does a dedicated team engagement look like when it's working?
It looks like the live sample below, built with illustrative data. Your version runs on your own accounts and your numbers.
Plan your dedicated team
Sample planFirst pod
- Delivery lead1
- AI engineer2
- Full-stack engineer2
- Data engineer1
- QA engineer1
- Product designer0
7 people in the first pod
How it starts
Assembleabout 8 weeks
Interviews, onboarding, access to your tools
Deliverongoing
Two-week sprints on your roadmap, scale by agreement
Your team works in your tools and your standups. Add or release people with notice agreed in the contract.
A planning sketch, not a quote. Your real plan comes from a scoping call.
Sound familiar?
What problems does a dedicated team engagement solve?
It solves the three problems teams raise most often on a first call, and each one has a fix.
The problem
- “Our roadmap is bigger than our team”Hiring senior engineers takes months, and the features customers asked for keep slipping another quarter.
- “Freelancers and agencies keep rotating people”Every new face needs onboarding, context gets lost, and quality depends on whoever happened to be free that month.
- “We want AI in the product but nobody here has shipped it”Your engineers know the core product well, but retrieval, evaluation and model costs are new ground, and learning by trial is slow.
What changes
- Roadmap moving againFeatures that kept slipping get built by a senior pod working only on your priorities.
- AI shipped inside your productAI engineers who've done it before build the features while your own engineers learn alongside them.
- The same faces every sprintA stable pod keeps context, so less time goes on onboarding and more on delivery.
- Capacity that flexes with plansAdd or reduce roles by agreement as priorities change, without a hiring cycle each time.
Compare your options
Hire in-house, use freelancers or bring in a dedicated team?
Each option suits a different stage. Here's how they compare on the points buyers ask about most, including where the others do well.
| Compared on | Hire in-house | Freelancers or contractors | Dedicated pod by Noorscale |
|---|---|---|---|
| Time to start | Hire in-houseSlowest, months of hiring | Freelancers or contractorsFast for single roles | Dedicated pod by NoorscaleFirst sprint in 3 to 6 weeks |
| Cost model | Hire in-houseSalaries, benefits and recruiting | Freelancers or contractorsHourly or daily rates | Dedicated pod by NoorscaleMonthly fee per pod |
| Continuity | Hire in-houseStrongest over the long term | Freelancers or contractorsPeople move between clients | Dedicated pod by NoorscaleStable pod, membership tracked |
| Management load | Hire in-houseFully on your leaders | Freelancers or contractorsYou manage each person | Dedicated pod by NoorscaleDelivery lead runs the rhythm |
| AI experience | Hire in-houseDepends on who you hire | Freelancers or contractorsDepends on the individual | Dedicated pod by NoorscaleAI engineers inside the pod |
| Best when | Hire in-houseA permanent, core capability | Freelancers or contractorsA short, specific skill gap | Dedicated pod by NoorscaleA roadmap bigger than the team |
On the free call, Noor will tell you which option suits your stage, even when it's one of the others.
What's included
What does a dedicated team engagement include?
A dedicated team engagement includes six deliverables, each one working material your team can use, not a slide deck.
Scope · Dedicated AI & Engineering Teams6 deliverables
- 01
A senior pod shaped to your roadmap
Engineers, AI engineers, QA and a designer chosen for your stack and backlog, with a delivery lead who owns the rhythm and the reporting.
- 02
Onboarding into your tools
Your repositories, tickets, chat, CI and environments, with access granted through your own identity provider and reviewed with your security team.
- 03
A written operating rhythm
Sprint cadence, ceremonies, overlap hours, definition of done, code review rules and escalation paths, agreed in writing in the first week.
- 04
AI engineering inside your product
Retrieval, agents, evaluations and cost tracking built by people who've shipped them before, with your own engineers pairing on the work.
- 05
Quality and release discipline
Automated tests, review on every change and release checklists, so moving faster doesn't mean more bugs in production.
- 06
Monthly scorecard and scaling reviews
Delivery, quality and cost reported every month, with a standing review to add, swap or reduce roles as the roadmap changes.
Tools and platforms we work in
GitHub
- GGitLab
- JJira
- LLinear
Slack
Figma
Next.js
Python
- DDocker
AWS
Claude
OpenAI GPT models
Process
How long does a dedicated team engagement take?
The work runs in five steps, starting in week 1. Every step ends with something you can use, so you always know what's landed and what comes next.
Time to first results: First sprint in 3 to 6 weeks
Step 01Week 1
Scope the roadmap and roles
We review your backlog, stack and goals, then agree the pod's roles, seniority and how success will be measured.
You get: Agreed pod roles, seniority and success measures
Step 02Weeks 1 to 3
Match and interview
You meet and interview the proposed people, and we agree the operating rhythm and overlap hours.
You get: Approved people and a written operating rhythm
Step 03Weeks 3 to 6
Onboard and run the first sprint
Access, environments and a first sprint on real backlog items, with the delivery lead reporting progress weekly.
You get: First sprint delivered on real backlog items
Step 04Ongoing
Deliver and report
Sprints against your roadmap, a monthly scorecard and a review of what to change in the team or the process.
You get: Shipped sprints and a monthly scorecard
Step 05By agreement
Scale or reshape
Add or reduce roles on agreed notice, or change the mix of skills as the roadmap moves.
You get: Pod resized or reshaped on agreed notice
Reporting
How will you know a dedicated team engagement is working?
You'll see it in four numbers on a live dashboard, with a written review every month. Leading indicators come first, then the numbers your finance team cares about.
Monthly reportSample
- Roadmap deliveredHigher is better
Committed sprint items shipped and roadmap milestones hit on the dates agreed.
- Cycle timeLower is better
Days from a ticket starting to the change running in production.
- Escaped defectsHigher is better
Bugs found after release, tracked per sprint so quality stays visible as speed rises.
- Team stabilityHigher is better
Changes to the pod's membership, since continuity is a large part of what you're paying for.

15 minutes with Noor
Noor Khan, Founder & CEO
You'll leave with
- Your biggest growth opportunity, in plain terms
- The first two or three moves worth making
- A clear plan for your first milestone
Noor listens first, then shows you the fastest route to the result you want.
Useful to have with you
- Your website address
- The goal or problem you want to solve
- Any numbers you already track
Booking opens on Cal.com. Or send a call request
Who it's for
Who is a dedicated team engagement for?
A dedicated team engagement works best for teams in one or more of these situations.
- Product companies with a roadmap bigger than their team
- Engineering leaders adding AI features without AI specialists in-house
- Enterprises that want a steady pod instead of rotating contractors
- Teams that may want to bring the pod in-house later
Engagement
How is a dedicated team engagement scoped and priced?
Pricing is shared after the free call, in a written scope with deliverables, timeline and fee. Never a package, never a surprise.
- Typical for this service
Monthly retainer
Ongoing work against a 90-day plan, for channels that compound month over month.
Usually: Monthly fee per pod, set by roles and seniority, with changes on agreed notice
- Monthly report and strategy call
- Priorities reset every quarter
- No long lock-in
Fixed-scope project
A defined scope, timeline and fee for builds, audits, migrations and launches.
- Deliverables agreed in writing
- Milestones you can check
- Optional care plan after launch
Focused sprint
A short, time-boxed piece of work on one priority, to prove the approach first.
- One clear goal
- Working output, not a deck
- Roll into a retainer or stop
Every engagement includes
- A senior pod with a named delivery lead
- Onboarding into your tools and security
- Written operating rhythm and overlap hours
- Monthly scorecard and scaling review
What shapes the scope
- Number of roles in the pod
- Seniority of each role
- Specialist skills such as AI engineering
- Overlap hours and security onboarding
You'll see how each one applies to you in the written scope.

Who leads the work?
Founder-led by Noor Khan
A software engineer turned AI and growth strategist. Noor sets the strategy and architecture on every engagement, reviews every plan before it ships and built the method the whole team works by.
FAQ
Questions about Dedicated AI & Engineering Teams
Something else on your mind? Email grow@noorscale.com and a person will reply within one business day.
How much does a dedicated development team cost?
It's a monthly fee per pod, driven by the number of roles, their seniority and any specialist skills, such as AI engineering. Tools and cloud costs stay in your accounts, so you pay for them directly. Changing the pod's size changes the fee on the notice period agreed in the contract. You get a written quote after a free call.
How is a dedicated team different from staff augmentation?
Staff augmentation adds individual people to your team, and you manage them day to day. A dedicated team arrives as a working pod with its own delivery lead, QA and review process, and it's accountable for delivery against your roadmap. Many clients use both: a dedicated pod for a product area and one or two augmented specialists elsewhere.
How quickly can a dedicated pod start?
Usually 3 to 6 weeks from agreed roles to a first sprint. Timing depends on the skills you need, how many interview rounds you want and how quickly your access and security onboarding clears.
Can we interview the people on the pod?
Yes, you meet and approve everyone before they join. You can also ask to replace someone later, and we handle the change with a proper handover.
Can we scale the team up or down?
Yes, by agreement and on the notice period set in the contract. Roles can be added, swapped or reduced at each monthly review as your roadmap changes.
Will the team's working hours overlap with ours?
Yes, overlap hours are agreed in the operating rhythm before the first sprint. Daily standups, reviews and urgent issues fall inside that window, and the rest of the day goes to focused build time.
Who owns the code and IP?
You do. The team works in your repositories and accounts, IP assignment is in the contract and everyone follows your security and confidentiality rules.
Related services
What pairs well with Dedicated AI & Engineering Teams?
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- Cloud & SecurityDevOps & CI/CDPipelines, containers and monitoring so releases ship safely and oftenExplore
We build Dedicated AI & Engineering Teams for teams in
Free 15-minute call
Tell us what you want to build.
In fifteen minutes you'll have a clear first step for Dedicated AI & Engineering Teams and a plan to reach it. Pick a time below, or write if that's easier.
Prefer email? grow@noorscale.com

15 minutes with Noor
Noor Khan, Founder & CEO
You'll leave with
- Your biggest growth opportunity, in plain terms
- The first two or three moves worth making
- A clear plan for your first milestone
Noor listens first, then shows you the fastest route to the result you want.
Useful to have with you
- Your website address
- The goal or problem you want to solve
- Any numbers you already track
Booking opens on Cal.com. Or send a call request