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

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

Engagement models.

Dedicated team

A roadmap that needs a stable, long-term squad

Engagement

Staff augmentation

Filling specific skill gaps fast

Engagement

Build-and-transfer

Standing up a capability you'll eventually own

Engagement

Project / MVP

A defined scope with a fixed outcome

Engagement

Highlights

How it works (7 days to a working team).

Day 0

What it meansArchitecture call we map your stack, goals and constraints.

Days 1–3

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

Days 4–5

What it meansOnboarding access, tooling, repo setup and rituals; we plug into your workflow.

Days 6–7

What it meansFirst sprint: the team ships its first increment and the SLA dashboard goes live.

Overview

Hear From Our Clients.

Our Clients

Patrick Fingles

CEO at Leap

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

Bradley Murray

VP of Technology at Partners

They had to earn the name Partners India & they did

Elior Alayev

Founder & CEO at Zeme

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

Bill Parker

CTO at Leap

Logiciel stands out globally for dedication, AI adoption, and productivity.

Resources

Insights for tech leaders.

Whitepaper · PDF

HIPAA and AI: The PHI Exposure Problem Your Engineering Team Does Not Know It Has

Whitepaper · PDF

AI - Powered Product Development Playbook

Whitepaper · PDF

Your Highest-Intent Buyers Are Sitting in Your CRM Four Times

Questions

Frequently asked questions.

How fast can I get a dedicated development team?

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

What does a dedicated AI-first team cost?

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.

How is this different from a normal offshore team?

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.

Do the engineers work in our time zone?

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

Who owns the code and IP?

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

Let's build

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

Hire a Dedicated Development Team that Feels In-House.

See Logiciel in action.

The problem.

What you get.

A complete pod

Engineers matched

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

Telemetry-driven SLAs

Full ownership: all code

Engagement models.

Dedicated team

Staff augmentation

Build-and-transfer

Project / MVP

How it works (7 days to a working team).

Day 0

Days 1–3

Days 4–5

Days 6–7

Hear From Our Clients.

Insights for tech leaders.

HIPAA and AI: The PHI Exposure Problem Your Engineering Team Does Not Know It Has

AI - Powered Product Development Playbook

Your Highest-Intent Buyers Are Sitting in Your CRM Four Times

Frequently asked questions.

Closing CTA.