Your process does not fit standard software
Specific business rules, data or decisions : an off-the-shelf tool only handles them halfway.
Service · AI systems design
Custom industrial AI systems, designed and built
We design and deploy the AI systems your operations actually need. From your processes, your data and your existing tools. From scoping to production.
Custom-built
Integrated with your tools
Deployable on your infrastructure
What we design
The system
What we buildWe take it to production, with you
What we design
The systems we design
One industrial problem, one system to solve it. Pick a family to see what it covers.
The system
Applications
Target results
Custom-built
When custom is the right call
A generic tool covers the average case. Your plant is not average. Three situations call for a system built for you.
In production
A system in production is not a demonstration. It is a tool your teams use every day.
The system must integrate with your environment
ERP, MES, CMMS, business databases, equipment, industrial network : integration is designed into the architecture.
Your constraints require a specific architecture
Local, edge, closed network, security, response time or data sovereignty.
Our method
From idea to production
Four phases. Each one produces a deliverable that lets you decide on the next.
Frame
Process, problem, users, data and constraints.
Prove
Architecture and feasibility validation on your data.
Build
Development, integration and business validation.
Deploy
Production rollout, operation and evolution.
With your teams or turnkey. A single point of contact leads ; you validate at key steps and you stay the owner of the tool.
Co-designTurnkey
A build · Integrity Loop
Hundreds of inspection reports, one steering system
Turning scattered inspection reports into a way to steer equipment integrity. Designed and built end to end by Assets 4.0.
Problem
Scattered reports, history hard to make use of.
System
Extraction, structuring, historisation and decision support.
Constraints
Local processing and sensitive industrial data.
Our principles
What defines our systems
Built for production
Reliability, operation, security and maintainability are handled from the design stage.
Integrated with your environment
ERP, MES, CMMS, business databases and equipment are integrated into the architecture.
Maintainable over time
Documented architecture, data under control and room to evolve.
An architecture chosen for your environment. Cloud, edge, local, specialised models, vision, RAG, APIs : we pick the components the need calls for, not an imposed stack.
See our technical approachSectors
The industries we serve
We serve industries where data, compliance and process integrity are critical.
Food & beverage
Pharmaceutical
Medical & devices
Manufacturing
We also work in other industrial environments with high production, quality or integrity demands.
Frequently asked questions
What decision-makers ask us
Why work with you rather than an AI agency or an IT services firm?
A typical AI agency often stops at a prototype or a chatbot. An IT services firm often works on a day-rate basis, without owning the architecture over time.
We are an AI engineering firm. We design the architecture, choose the models and build the system. We integrate it with your tools and take it through to production. The goal is a system that runs and stays maintainable.
Why a custom system rather than an off-the-shelf tool or a SaaS subscription?
An off-the-shelf tool covers standard needs well. It imposes its data model and integrates poorly with your processes, your ERP, your CMMS or your MES.
A custom system starts from your reality: your data, your constraints, your business rules. It does what you need, and you keep control of it. Custom development is justified whenever a process is specific, sensitive or poorly covered by the market.
Why local AI rather than the cloud?
Local AI processes your data on your own infrastructure, without sending it outside. That is decisive when it describes processes, defects or information under industrial secrecy.
We design local, hybrid and private-cloud systems. The choice is made during scoping, according to your sovereignty, latency and cost requirements. Your IT department is involved from the start.
How does a project run, from idea to production?
We follow four phases: frame, prove, build and deploy. Framing sets the decision to improve. The prove phase validates feasibility on your real data. Going into production and adoption by your teams are planned from the start.
How long does a first system in production take?
It depends on the scope. A prototype usable on your data usually takes a few weeks to build. A first system in production on a narrow scope is measured in weeks to a few months. We favour a tight first project, put into service quickly and then extended.
Who owns the code and the data?
Your data belongs to you and is used only for your project. For the code, we agree on the ownership and licensing model at the outset. Handover of the source code is possible when you want it. The goal is that you are not locked in to a vendor. You can extend the system, take it over or hand it to a third party.
What results can you expect from a custom AI system?
A well-targeted system saves time on a specific task. It makes a decision more reliable and turns dormant information into something usable. Results are judged on a concrete deliverable and a decision to improve, defined during scoping. If the first scope meets its objectives, you extend it. If not, you adjust, at the cost of a limited scope.
Talk about your project
An AI system to design?
Describe your need: your processes, your data, your goal. We’ll get back to you to scope the perimeter and the steps.
- With your teams or turnkey
- A system that stays yours
