High-Impact Automation for Realtors
Sprint Aligned Engineers • AI-First Development • Delivery Ready Teams
High-Impact Automation for Realtors
Boosting Sales for Roofing & Remodeling Teams
Acquisition-Grade Platforms with AI Engineering
Smart Rental Management Platform
Streamlining Roofing & Remodeling Workforce
A No-Code BI Platform for Easy Financial Planning & Analysis
To build a Digital Marketing Tool that streamlines
Experts ready to start with your project
Tech leaders choose Logiciel because nothing shakes in production.
We combine AI-first engineering, senior talent, & proven delivery systems to help products ship confidently and scale smoothly. From MVPs to high-growth platforms, we focus on sustained velocity that lasts.
“We don’t just call them Logiciel, we call them Leap India”
Patrick Fingles
CEO at Leap
“They had to earn the name Partners India & they did”
Bradley Murray
VP of Technology at Partners
“We don’t just call them Logiciel, They’re part of the Zeme Team ”
Elior Alayev
Founder & CEO at Zeme
A CTO or Head of Product looking to automate repeatable workflows across teams.
A SaaS team shipping AI features and needing reliability, evaluation, and control.
An operator-led business with multiple workflows and tool fragmentation.
A team tired of “automation scripts” and ready for intelligent execution.
A CTO or Head of Product looking to automate repeatable workflows across teams.
A SaaS team shipping AI features and needing reliability, evaluation, and control.
Agents that execute tasks across systems, not just answer questions.
Ticket triage, follow-up automation, document routing, quote generation, internal approvals.
Agents that execute tasks across systems, not just answer questions.
Ticket triage, follow-up automation, document routing, quote generation, internal approvals.
Agents that execute tasks across systems, not just answer questions.
Ticket triage, follow-up automation, document routing, quote generation, internal approvals.
Agents that execute tasks across systems, not just answer questions.
Ticket triage, follow-up automation, document routing, quote generation, internal approvals.
Automates triage, routing, and response drafting, escalating issues with full context to reduce backlogs without adding headcount.
Streamlines follow-ups, qualification, approvals, and proposal drafts to accelerate execution while maintaining control.
Automates release notes, incident context, runbooks, and documentation to improve execution hygiene across teams.
Once clarity is locked, execution begins
No handoffs. No delays. We assemble a focused delivery team and move with intent.
Guides architecture and decisions.
Move fast without shortcuts.
Maintains delivery discipline.
QA and infrastructure support.
6-10 Weeks
Most founders ship their MVP 6-10 weeks after Discovery .
This model works best if you:
You have validated the idea and want to build something real
You do not yet have a full internal tech team
You are preparing for investors or early customers
You want momentum with structure, not just speed
This is a serious MVP approach for founders building a real first version.
Start with clarity. Build with confidence.
Start Your MVP Discovery
Ready to accelerate your product journey?
Partner with us to kickstart your AI-powered software development and build faster, smarter, and more efficiently.
AI adoption is exploding. Gartner estimates enterprise AI adoption has grown by 270% in the past four years. Yet, more than 80% of AI projects never reach ROI.
This paper introduces a 4-pillar evaluation framework designed for CTOs and engineering leaders. It is not theory, it’s backed by real-world validation, including our own hackathon where 12 MVPs were shipped in just 6 hours.
When we ran our Hackathon, the challenge was clear:
Were outputs consistent across edge cases?
Did apps hold under concurrent users?
Were prompts optimized to avoid runaway tokens?
Could a non-technical user test it without guidance?
12 MVPs delivered demo-ready.
Avg. iteration cycle <30 mins.
No critical failures during live demo.
Clear visibility into which MVPs were “investable” vs. experimental.
Lesson: Evaluation wasn’t a slowdown. It was the enabler of speed. By catching issues in real time, teams avoided rework and shipped faster.
60% of AI projects stall at PoC due to lack of evaluation.
Companies with AI evaluation frameworks see 3x faster scaling.
Firms with structured evaluation reduce AI costs by ~30% annually.
12 MVPs in 6 hrs, 0 critical failures, because evaluation was embedded from day zero.
An AI first engineering model that blends product thinking, deep engineering, and platform-grade execution.
Focused on real user value, outcomes, and long-term product success.
Built to handle scale, complexity, compliance, and mission critical systems.
Senior engineers, clean architecture, and ownership from day one.
Founder-led. Technically grounded. Forward-looking. Our leadership believes great software is built by strong teams, with quality always driving velocity.
Leads engineering vision and AI-first delivery strategy.
Director & Co-founder
Drives growth, governance, and long-term technology direction.
Managing Director & Co-founder
Ensures scalable systems and high-quality engineering execution.
Director of Engineering & Delivery
Builds strong operations and execution frameworks at scale.
Director of Finance & Compliance
Oversees financial discipline and public-company compliance.
Head of Human Resources & Compliance
Our engineering approach is guided by clear principles that help us design, build, and scale reliable products that grow with real-world demands.
We build with structure, not shortcuts.
Every system is designed with clean architecture, strong fundamentals, and long-term maintainability in mind, so products don’t slow down as they grow.
We take responsibility, not just tickets.
Our teams think like long-term owners, not short-term executors. We stay accountable for outcomes, not just delivery.
Speed matters only when it’s predictable.
We focus on consistent, reliable delivery through strong CI/CD, DevOps practices, and disciplined execution, even as complexity increases.
Growth is not an afterthought.
We architect systems to handle increased users, data, and workflows from day one, reducing rework and preventing future bottlenecks.
We use AI and modern tools to accelerate, not complicate.
AI-assisted engineering helps us move faster and smarter, without replacing judgment, quality, or engineering rigor.
Logiciel has been the engineering backbone behind products used by thousands of teams and millions of users.
Canada
India
