A story of know-how, transmission and innovation

Our history

2009 — Industrial foundations

Starting in 2009, the group built up skills in industrial trades and technical design. This know-how covered in particular:

• structural metalwork
• boilermaking
• plastic boilermaking
• mechanics
• production engineering
• industrial automation
• maintenance of automated systems
• design and construction of machines and systems
• technical design office work in these fields

This period formed the group's first technical foundation: designing, manufacturing, automating, maintaining and improving complex systems.

The experience gained in these trades also shaped a particular culture: understanding how a system actually works, intervening on the ground, and looking for pragmatic rather than theoretical solutions.

An early international venture

Activities were also developed in North America starting August 5, 2015, before being sold on August 22, 2016.

This experience helped broaden the group's scope and strengthened its ability to carry its know-how into other economic and technical environments.

2014 — Entering IoT

In 2014, as the Internet of Things entered a phase of broad adoption, a new step was taken. The group turned toward designing connected electronic systems.

Know-how then developed around building devices and embedded systems, notably based on:

• Atmel / ATmega microcontrollers
• ESP
• Raspberry Pi
• sensors and actuators
• communication systems
• embedded electronics
• data acquisition and processing

The goal remained fundamentally the same as in industry: observe a system, capture information, process it and act on it. IoT thus became the natural link between the physical world and the digital world.

From device to Edge Computing

The proliferation of connected objects quickly surfaced new needs. Data cannot always be sent to a central system for processing — it has to be computed, filtered, stored and acted on as close to the ground as possible.

The group then developed skills in:

• Edge Computing
• Linux systems administration
• servers
• networks
• monitoring
• storage
• automation
• local data processing
• embedded electronics

The device was no longer treated as an isolated object. It became a component of a distributed computing system.

From infrastructure to managed IT services

This evolution naturally led toward administering and operating infrastructure. The skills built in embedded systems and Edge Computing were gradually extended to server infrastructure and information systems.

The group built expertise around:

• Linux
• networks and infrastructure
• physical and virtual servers
• cloud and hosting
• automation
• backups
• monitoring
• security
• operations and maintenance

The activity then evolved into managed IT services, built on an approach grounded in automation and infrastructure control.

Software and applications

Infrastructure is only part of a system. To put data to work and answer business needs, the group then extended its skills into application development. This evolution notably included:

• websites
• web applications
• APIs
• databases
• process automation
• systems integration
• business tools
• SaaS platforms

The know-how gradually came to cover the whole chain: from the sensor to the application.

Open source as a founding choice

From the earliest digital activities, one technology choice gradually became a constant: favoring open source technologies and open standards. That choice was never purely economic. It answers a conviction:

An information system must remain understandable, controllable and evolvable by the people who operate it.

Using open technologies notably helps limit:

• dependency on a single vendor
• technological lock-in
• loss of control over data
• dependency on proprietary architectures
• difficulty of reversibility

After more than a decade of experience, this choice stands out as a structuring element of our approach.

2023 — One story ends, a know-how continues

On July 5, 2023, the group's historical industrial activities in structural metalwork, boilermaking, mechanics, production engineering and automation were discontinued.

That does not mean these skills disappeared. Quite the opposite. The knowledge built up since 2009 was gradually carried into Trustiatis's R&D, notably in engineering, automation, electronics and systems design. Plastic boilermaking and mechanical know-how are likewise part of this technical heritage.

This transfer reflects an important principle for the group:

an activity can disappear; a know-how can change shape.

The acceleration of artificial intelligence

Artificial intelligence marks a new technological break. The successive advances of deep learning, then Transformer architectures from 2017 onward, and finally the rise of generative AI from 2022-2023, have deeply changed what is possible for businesses.

The group chose not to treat AI as an isolated technology. It is approached as a new layer integrating into the whole system:

data → infrastructure → applications → automation → decision → learning.

AI gradually became the group's main axis of development.

Today — AI Native

The experience accumulated since IoT leads to a particular approach to artificial intelligence. We do not treat AI as a simple feature bolted onto existing software. We aim to design systems capable of:

• observing
• remembering
• reasoning
• assisting
• automating
• executing
• measuring
• learning

This approach applies as much to applications as to infrastructure and managed IT services. Trustiatis is accordingly evolving its managed services toward an AI Native model, in which automation, agents, observation and intelligent assistance become structural components of operations.

The goal is not to replace humans with AI. It is to build systems in which humans retain control while repetitive tasks, analysis and certain operational decisions can be augmented by intelligent systems.

2025 — Workynet

In 2025, a new activity began taking shape around an initially internal need: human resources and operations.

Meeting the group's own needs gradually led to developing:

• HR processes
• selection methods
• operational processes
• management tools
• qualification methods
• knowledge of the talent market
• a pool of skills
• outsourcing methods

This internal experience gradually became significant enough to justify creating a dedicated entity. Workynet was born from the intent to turn field-tested operational experience into a structured services capability.

Here again, the logic stays the same:

experiment → learn → structure → transfer → industrialize.