AI & Automation
AI agents and workflow automation that remove manual work across your tools.
Dedicated Teams
Engineering capacity without the hiring delay
Add vetted engineers to your team, or bring in a complete dedicated team, working in your tools, with agreed time-zone overlap and inside your delivery process.
The problem
Hiring is slow. Roadmaps do not wait.
Building an in-house team takes time and fixed cost. Meanwhile, deadlines, maintenance and new opportunities keep arriving.
Long hiring cycles
Recruiting senior engineers takes months, while product deadlines stay fixed.
Specialist skill gaps
AI, DevOps or mobile expertise is needed for a project, not necessarily forever.
Overloaded core team
Your engineers are stretched between roadmap work, maintenance and support.
Low vendor visibility
Past outsourcing delivered code nobody could maintain, with little insight into progress.
Our approach
Engineers who work like part of your team
We match engineers to your stack and ways of working, onboard them into your processes and stay accountable for quality and continuity.
- Engineers matched to your stack, seniority and time-zone needs
- Integration with your tools: Git, Jira or Linear, Slack and CI/CD
- Regular check-ins on delivery quality and team health
- Knowledge transfer and replacement if someone needs to change
- Scale the team up or down as your roadmap changes
Capabilities
What our Dedicated Teams work covers
Pick one capability or combine several. Each is scoped, estimated and delivered with the same engineering standards.
Dedicated product teams
A cross-functional team of engineers, QA and a delivery lead that owns part of your roadmap.
Staff augmentation
Individual engineers who join your existing team to add capacity or specialist skills.
Full-stack engineering
Frontend, backend and API engineers experienced in modern TypeScript and Python stacks.
AI & automation engineers
Engineers who build language-model features, AI agents and automation pipelines.
DevOps & cloud
Infrastructure, CI/CD, observability and cost optimisation on AWS and other clouds.
QA & testing
Manual and automated testing that protects quality as you ship faster.
How we work
How we deliver Dedicated Teams
Share your requirements
Tell us the roles, skills, seniority, time-zone overlap and duration you need.
Interview matched engineers
We shortlist engineers against your requirements. You interview and choose.
Onboard into your team
Engineers join your tools, rituals and codebase with a structured onboarding plan.
Deliver and review
We check in regularly on output, communication and fit, and adjust as needed.
Technology
Technology we use
Chosen for reliability, maintainability and fit with your existing stack.
Engineering
Mobile
AI
Cloud & DevOps
Use cases
Where teams put this to work
Common starting points. Your process will have its own details, which is why every engagement starts with discovery.
- 01
Scale for a launch
Add engineers for a major release without permanently growing headcount.
- 02
Add AI expertise
Bring AI and automation skills into an existing product team.
- 03
Maintain a legacy platform
Keep a critical system healthy while your core team builds what is next.
- 04
Build a remote delivery team
Stand up a dedicated team that owns a product area end to end.
- 05
Cover DevOps needs
Improve infrastructure, pipelines and observability with specialist help.
- 06
Strengthen QA
Add testing capacity to shorten release cycles without lowering quality.
Industries
Built for operational teams across industries
The patterns carry across sectors. What changes is the data, the systems and the rules, and we learn those first.
SaaS & technology
Product engineering, integrations and AI features for software companies.
Professional services
Automated intake, document workflows and client reporting for agencies, consultancies and firms.
E-commerce & retail
Order, inventory and customer-service automation connected to your store and ERP.
Finance operations
Invoice processing, reconciliation support and reporting automation.
Healthcare operations
Scheduling, intake and back-office workflows, designed with privacy requirements in mind.
Education
Admissions, learning platforms and administrative automation.
Case studies
Proof, published with evidence
Every case study we publish is approved by the client and limited to results we can verify.
Verified case studies only
We publish a case study only when the client has approved it and every result is verified. Until then, we are glad to walk you through our approach, architecture and delivery process for problems like yours.
case-study.format
- 01Challenge
- 02Approach
- 03Architecture
- 04Implementation
- 05Verified outcome
FAQ
Dedicated Teams questions
Straight answers to the questions that come up in first calls.
What is the difference between staff augmentation and a dedicated team?
With staff augmentation, individual engineers join your team and you manage their day-to-day work. A dedicated team is a complete unit, usually with a delivery lead, that owns a product area or roadmap while working closely with you.
How quickly can engineers start?
It depends on the roles and seniority you need. We share a realistic timeline once we understand your requirements, and we only propose engineers we have vetted.
Will engineers work in our time zone?
We agree working-hour overlap upfront, so stand-ups, reviews and collaboration happen in real time.
Who owns the work?
You do. All code and work product belong to you, and engineers work in your repositories and tools.
Related services
Often combined with
Most engagements touch more than one discipline. The same team can take you from strategy to production.
Software & SaaS
Custom software, SaaS products and internal platforms engineered to scale.
Consulting
Product, architecture and AI strategy before you commit budget.
Start a project
Tell us what is slowing your team down
Share the workflow, product or team challenge. We will come back with a clear recommendation and next steps.
Intro call · Fixed-scope proposal · No obligation