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Dedicated Development Team

Hire a Dedicated Development Team that Feels In-House

Vetted, AI-first engineers working in your stack, your tools and your time zone, assembled in 7 days, with telemetry-backed SLAs so you can see the velocity, not just trust it.

The problem

Most ‘dedicated teams’ are just cheaper hands. You still own the coordination, the context-switching and the risk, and you find out about delivery problems too late. Hiring in-house is slower and more expensive than ever, and traditional offshore trades cost for control.

You need a team that ships like it sits next to you, gives you real visibility, and gets faster over time, not one you have to manage at arm’s length.

What you get

A complete pod, product manager, senior engineers and QA, not loose contractors.

Engineers matched to your exact stack and domain, onboarded into your rituals (stand-ups, reviews, planning).

An AI-augmented delivery workflow: AI-assisted coding, testing and review under human ownership.

Telemetry-driven SLAs, you see cycle time, throughput, and defect trends in a shared dashboard.

Full ownership: all code, IP and documentation live in your repositories from day one.

Engagement models

Choose the shape that fits your roadmap. You can switch models as the work changes.

Dedicated team

A roadmap that needs a stable, long-term squad

What you get:

A full pod (PM, engineers, QA) working only on your product

Staff augmentation

Filling specific skill gaps fast

What you get:

Vetted senior engineers embedded in your existing team

Build-and-transfer

Standing up a capability you'll eventually own

What you get:

We build, run and hand over the team and codebase

Project / MVP

A defined scope with a fixed outcome

What you get:

Discovery, build and launch against a clear spec

How it works (7 days to a working team)

Day 0

Architecture call we map your stack, goals and constraints.

Days 1–3

Team match we assemble a pod from vetted engineers and share profiles for your sign-off.

Days 4–5

Onboarding access, tooling, repo setup and rituals; we plug into your workflow.

Days 6–7

First sprint: the team ships its first increment and the SLA dashboard goes live.

Why AI-first

Our teams don’t just use AI tools, they work inside a measured, AI-augmented delivery system. That means faster shipping, earlier defect detection, and SLAs you can actually see, rather than a promise of ‘senior developers’ you have to take on faith.

Hear From Our Clients

patrick fingles
Watch Video

“We don’t just call them Logiciel, we call them Leap India”

Patrick Fingles

CEO at Leap

Bradley Murray
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“They had to earn the name Partners India & they did”

Bradley Murray

VP of Technology at Partners

Elior Alayev
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“We don’t just call them Logiciel, They’re part of the Zeme Team ”

Elior Alayev

Founder & CEO at Zeme

Bill Parker
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“Logiciel stands out globally for dedication, AI adoption, and productivity.”

Bill Parker

CTO at Leap

Extended FAQs

Most teams are assembled and onboarded within 7 business days, including matching engineers to your stack and plugging into your tools and rituals.

A flat monthly rate per engineer based on seniority and role, no recruiting fees, no long lock-ins. Scale the team up or down as the roadmap changes.

Engineers work inside an AI-augmented workflow with telemetry-driven SLAs, so you get measurable cycle-time and velocity gains and full visibility, not just lower hourly rates.

Yes, teams commit to a defined overlap window with your core hours so stand-ups, reviews and pairing happen in real time.

You do. All code, IP and documentation are yours, committed to your repositories from day one.

Closing CTA

On a 30-minute call we’ll map your stack and show you exactly what your team and first sprint would look like. No obligation.

Book a 30-minute architecture call