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For owner-led industrial and B2B distribution companies
You want customers, suppliers and employees to notice that your company works differently: fewer errors, faster answers and an operation that can improve without asking an integrator for permission. (And yes, we deploy AI platforms.)
The useful part
Industrial leaders hire us to conceive, deploy and operate the internal platform, agents and connectors that make their company work better. Technology is part of the job. Choosing it well is part of why you hire us.
Documents, systems, permissions and operating knowledge become reusable context.
Frontier, dedicated or local models are selected for the actual task and constraints.
Agents and connectors are built around defined workflows, exceptions and owners.
We deploy, monitor and improve the system, then operate it or transfer it clearly.
What the market notices
Operational quality becomes commercial reputation long before anyone calls it AI.
That is how fewer errors, better flow and stronger systems become a difference your market can feel.
Before we build
The War Map shows where work gets trapped, which exceptions matter, what should stay human and what can move safely between systems.
War Map
Open the full War MapThe platform
Documents, systems and permissions feed one secure context layer. Each approved agent can use the knowledge your people already rely on without copying it into another isolated tool.
The models
We test the work against the available options. Deep reasoning may need a frontier model. Repetitive extraction may run better on a dedicated model. Sensitive work may need to stay local.
The model can change. The company context and operating capability remain.
Control
We can operate the system without turning that operation into captivity. Every engagement defines where data runs, who can access it, what can change and how the capability can be transferred.
Sensitive workloads can run on dedicated or sovereign infrastructure when the case requires it.
Agents inherit the access rules of the people and systems they serve.
Models are selected components, not the permanent owner of your company context.
Code, connectors, operating boundaries, support and handoff are agreed before implementation.
The point
Customers and suppliers see reliability. Good people stop wasting themselves on work a machine should carry. You recover the freedom to change a process, a model or a provider without rebuilding the company around them.
“The kind of freedom where you can put down your phone and know the operation remains under control.”
A clear engagement
Bring the outcome, the workflow and what cannot be put at risk. We choose the smallest useful next step.
Start with a War Map. We map the operation, expose dependencies and choose a safe first intervention.
Start with a tightly scoped Feasibility Sprint. We test representative transactions, exceptions, models and controls before a larger decision.
A clear fit
The work moves when leadership wants a capability that stays inside the company and is ready to let evidence challenge the original idea.


Our story
“The most profitable operational project of my career began with paperwork stopping trucks.”
We removed the manual steps and recovered $870,000 in annual savings. The project needed ordinary software and a clear process. That lesson still governs the work: start with what the operation must achieve, then choose the technology.
Project led by Matías Bonvin in a previous engineering role. Result based on the project's internal measurement.
Choosing a safe way to build it is part of our job. Five fields. No deck. We read every request and reply directly if we can help.
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