Your people are growing.
Your organization isn't.
Your teams already use ChatGPT, Claude, Copilot or Mistral. They experiment, discover, improve.
But in most organizations, what works stays scattered: in a prompt, in a personal account, in a routine that never gets passed on.
The gain is individual.
The loss is collective.
Marylink is the bridge between AI and your organization's know-how. It turns what your teams learn into reusable collective practices.
An organization can move faster with AI while producing less knowledge.
When an employee writes, decides, rephrases and shares, they don't just finish a task. They also produce traces, trade-offs, institutional memory.
When this work shifts into a private conversation with an AI, the gain is immediate. But the collective trace shrinks.
The organization keeps executing. But it articulates less. It passes on less. It learns less on its own.
"The point isn't just to move faster. The point is to make sure know-how keeps being built."
MIT economists, led by Nobel laureate Daron Acemoglu, have put a name on this risk: knowledge collapse.
Research DNA
You keep your tools.
Marylink finally lets the organization capitalize.
Everyone uses their AI on their own
Best practices stay hidden
Prompts live in personal accounts
Know-how leaves with people
Improvements stay local
Useful uses surface in a shared framework
Best practices become visible
Practices are reusable and versioned
Know-how stays in the organization
Improvements can spread across teams
No one is asked to stop using AI.
We just make sure the company keeps something from it.
What is
Marylink?
Marylink is the bridge between AI and your organization's know-how. Without replacing your tools — by plugging into them.
Compatible with most chatbots on the market.
Its role: capture what works, structure it, make it reusable, and put it back to work for the collective.
"The value isn't in one good answer in isolation. It's in your organization's ability to turn it into something lasting."
Three key components:
Your usual AI tools
Seamless integration into your workflows.
Your portfolio of activable practices
A structured, ready-to-use asset.
A collaborative & governed layer
A social dimension that serves collective knowledge.
A good AI practice shouldn't depend on one person.
Making a practice visible, reusable, improvable and transferable: that's a real organizational challenge.
This is what Marylink calls Practice Engineering — the engineering of know-how.
A living portfolio
At the heart of the system, there's no dormant document. There's no isolated prompt.
There's a living portfolio of practices: an asset the organization can steer, improve, and pass on.
Three foundational benefits,
with every use.
Your capital compounds.
The organization's know-how grows instead of fragmenting. Every interaction becomes an asset.
An augmented experience.
Your people draw on the collective and feed it back with their own discoveries.
Your sovereignty.
You stay at the helm, whatever the shifts in models, vendors and regulations.
5 years of R&D,
an innovative solution.
A robust collaborative platform, born from scientific research and validated by demanding partners.
A scientific approach.
Grounded in our research on AI governance, including:
From Knowledge Graphs to Practice Graphs Generative AI as Practice (C.R.E.W)Two appearances at CES.
Innovation recognized on the global tech stage in Las Vegas.
Adopted by enterprise clients.
Validated in the field by industrial players since 2015.
See Marylink in action
on one of your real use cases.
In 30 minutes, we plug into your usual AI and show you what Marylink builds from the very first pass. Not an
abstract promise.
Your context. Your case. Your demo.