Professionals bringing their full human qualities to work.
We believe partnership with AI helps people grow: it gives them back the space to exercise and develop their core qualities, such as: creativity, sense of context, inspiration, compassion, ethics, strategy, trust, courage. That is the world of work we want to help build.
Supporting professionals to feel fulfilled at work, through partnership with AI.
We support your teams on their way to partnership with AI. They keep the subtlest, most fulfilling work — the work that calls for judgement and a close read of the context — and bring in assistants that take over the repetitive and the complex, inside your real environment, with your tools and your rules.
Our way of being together.
We are a united, tightly knit group: that means going beyond the surface, and it takes honesty.
With us, decisions are made with the people they affect, within a clear structure where roles are well defined: that's shared governance.
We look after each person's well-being and cultivate an environment where everyone can be themselves.
Through the way we work, we also hope to inspire.
This way of being together is what you'll find in our engagements: the same people, the same candour, the same care.
Before you trust someone with a task, look at the track record.
Applied research in artificial intelligence and organizational coaching, in demanding environments — legal, government, financial.
A PhD in artificial intelligence (specializing in computer vision), Steve leads SKEMA Canada's AI innovation centre in Montreal and teaches data management and MLOps at UQAM. For over ten years, he has connected academic research and industrial applications to design AI architectures that are robust, ethical and high-performing.
An analytics expert with over ten years in digital transformation across tech and finance. Formerly a Senior Director at a large financial institution in Montreal, where he led the shift to a Data Mesh architecture and founded a collaborative "DataLab", Gildas designs large-scale Cloud and AI infrastructures (Azure, Databricks, MLOps).
Laurent has been an organizational coach for fifteen years. He designs ways for people to decide together — shared, decentralized governance, trained at the Sociocracy Academy, through Going Horizontal and in scaled agility — and works with managers in large financial institutions in Montreal. He has led large-scale organizational transformations in departments of 200 people and more. At Opalion, he oversees business development and orchestrates the rapid prototyping and rollout of intelligent automation and predictive analytics solutions. His work always starts by listening to what people actually live through.
For ten years, Patrick has helped people progress — coaching individuals at a software company, integral development inside a large financial institution. He now works on growing a culture of recognition and feedback inside an IT division, and he led the evolution of the metrics behind a product that measures employee engagement and well-being. Trained in computer science (dual master's degrees, UQAC and ESGI), he has been designing software and building systems for over fifteen years, and ran his own web business for six years. He drives business development for Neo, our administrative AI agent — a product he knows from the inside, from the code to the concrete needs of the teams using it.
An artificial intelligence researcher specialized in computational psycholinguistics and natural language processing, Jean Marie is drawn to what makes AI truly intelligible to humans. LLMOps is where that work becomes concrete: he puts language models into service inside the real environment of organizations in Montreal, and keeps them reliable over time. His conviction is simple: large language models deliver the most value when they are grounded in how language carries meaning, intent, and nuance.
Let's talk about the task your team no longer wants to do.
Thirty minutes is enough for a first conversation about your reality — and we'll tell you frankly whether we can help.
Book a meeting