Dedicated teams
Hire AI developers and dedicated teams, embedded in yours.
Spin up a senior engineer or a cross-functional AI pod that works in your stack, your timezone overlap, and your rituals. Vetted talent in days, with none of the hiring lag. You own the code, the IP, and the process.
What you get
- Vetted senior engineers, not juniors
- Timezone overlap with your team
- Your tools, your sprints, your process
- Scale the pod up or down monthly
- Full code and IP ownership
Engagement models
Pick the model that fits where you are.
Start with a pilot, scale to a full team, or extend the one you have. Change the model as you grow.
AI Pilot
Validating an AI idea, fast
A fixed-scope proof of concept that turns one high-value AI use case into a working prototype in 3-4 weeks.
- Fixed scope & timeline
- Working prototype + evals
- Clear go/no-go decision
Dedicated Team
Owning a roadmap end to end
A cross-functional pod, product, engineering, QA, that takes a product or platform from zero to launch and beyond.
- Full delivery ownership
- Embedded rituals
- Predictable monthly cost
Staff Augmentation
Extending an in-house team
Senior developers who plug into your existing team, stack, and sprints to add capacity without the hiring lag.
- Vetted senior engineers
- Your tools & process
- Scale up or down monthly
How it works
From need to first pull request, in days.
Scope the need
A short call to understand your stack, goals, timezone overlap, and the exact roles you need.
Meet your engineers
We match vetted senior people to your context. You interview them and approve the fit, no blind handoffs.
Onboard and ship
They plug into your tools, rituals, and sprints in days. You start seeing pull requests in the first week.
Scale with you
Scale the pod up or down monthly as priorities shift. No long lock-ins, no rehiring lag.
Roles available
The disciplines you can embed.
Hire one specialist or a full pod that spans the stack. Every engineer is senior and ships from day one.
Full-stack Engineers
React, Next.js, Node.js, and typed end-to-end stacks. The people who scope your work are the people who build it.
AI / ML Engineers
Agents, RAG, and LLM applications with real evaluation, grounding, and guardrails. Production AI, not demos.
Mobile Engineers
Native and cross-platform apps with offline-first architecture, smooth motion, and store-ready quality.
Backend & DevOps
Scalable APIs, event-driven systems, and cloud infrastructure with CI/CD, observability, and cost control built in.
QA Engineers
Manual and automated testing that catches issues early, so you ship with confidence instead of crossed fingers.
Why this beats hiring
The speed of contractors, the depth of a team.
Traditional hiring takes a quarter and locks you in. Our pods give you senior capacity now, with the flexibility to change course any month.
Days, not months
Skip job posts, screening rounds, and notice periods. Senior engineers start in days, not a quarter from now.
Predictable cost
One monthly rate covers the engineer, their tooling, and our oversight. Scale up or down without severance or rehiring.
You own everything
Code, IP, and process stay yours from day one. We are an extension of your team, not a black box.
Senior, not benched
No bait-and-switch to juniors after signing. The engineers you meet are the engineers who build.
Questions
What CTOs ask before hiring dedicated developers.
Usually within days. A short call covers your stack, goals, timezone overlap and the roles you need. We match vetted senior engineers to your context, you interview them and approve the fit, and they plug into your tools and sprints so you see pull requests in the first week.
Dedicated developers and AI pods are billed at one monthly rate that covers the engineer, their tooling and our oversight. You can scale the team up or down each month without severance or rehiring. Tell us the roles and seniority you need and we will come back with a quote.
Yes. Our AI and ML engineers build agents, RAG and LLM applications with real evaluation, grounding and guardrails, using Claude, OpenAI, LangGraph, MCP and pgvector. Embed one AI engineer in your team, or a cross-functional pod that also covers full-stack, mobile, backend, DevOps and QA.
They work with an agreed overlap with your team. We confirm the overlap hours you need on the first call, and the engineers join your tools, rituals and sprints during that window, so they work like part of your team rather than a separate vendor.
You do, completely. Code, IP and process belong to you from day one. Engineers work in your repositories and your tools, and we act as an extension of your team, not a vendor that holds your product hostage.
Tell us what you need. We will line up the right engineers.
Building since 2017, with 160+ projects shipped for 70+ clients worldwide.