Artificial intelligence and data

We don’t talk about artificial intelligence as a promise. We use it on our own systems every day, and this is what runs in production.

What we have built

Since 2024 we have brought artificial intelligence inside our management platform and into the platforms of the research projects we take part in. It is not a pilot and it is not a demo: these are systems that work every day on our data and on the data of the European projects where we are the technology partner.

Solution	What it does	How much it works
AI Assistant for Documentation (RAG)	Searches manuals, procedures and corporate documentation, providing answers with precise references to the original source	5,000+ document sections searchable by AI, with source citations
Client dossier enrichment	Reads the information available about a company and prepares a structured brief for whoever has to write a quotation	25,000+ company dossiers enriched
Automated document analysis	Extracts structured data from emails, orders and attachments, and proposes a classification	8 business processes already supported by AI
Image and video recognition – Computer vision	Analyses, segment and recognises objects and features in images using AI models trained on real-world use cases	Technology also applied in European research projects, including automated recognition of objects in marine enviroment
AI & Predictive Models for Sensor Data	Combines IoT sensor data with predictive models to estimate parameters that are not measured directly	From 8 directly measured parameters to 19 available parameters, including 11 estimated by AI models. The so called soft sensors

Everything is built on an abstraction layer that does not tie us to a single provider: the system routes each request to the most suitable model, selecting among proprietary, commercial and open-source models according to the use case, security requirements, performance and cost. We use and integrate, among others, Anthropic Claude, Google Gemini and OpenAI models, while the configuration can be changed without modifying the application code.

For sensitive corporate data, we also support the adoption of open-source AI models installed directly on the customer’s infrastructure, with no licence fees and full control over data. We size each solution according to requirements, budget and available hardware: from compact models with a few billion parameters up to next-generation architectures with hundreds of billions or even trillions of parameters.

We also develop proprietary AI models and components and support customers in selecting, installing, optimising and integrating the model that best fits their operational environment. Our technology strategy is focused on data sovereignty, independence from individual vendors and the ability to retain long-term control over the AI infrastructure.

In this direction, we actively support the European AI ecosystem, favouring, whenever appropriate, models, infrastructure and technologies developed in Europe, and building networks with research institutes, universities and leading European technology companies. It is a choice of independence, security and technological sovereignty, even before performance.

The principle, which is a board resolution and not a slogan

Artificial intelligence proposes, explains, prioritises and predicts. It does not decide on pay, discipline, promotion, dismissal or access.

One consequence concerns anyone using our workforce management software directly: we do not do individual scoring of employees, and we will not. Time and attendance systems are there to count hours, not to judge people.

A second consequence concerns everyone: every AI output is a suggestion, not a final decision. Wherever our software proposes something — a classification, a priority, an answer — a person confirms it, and the source of the suggestion is visible.

Read the full page on transparency and the AI Act →

What we can do for you

We learned by building for ourselves, and now we do it for clients too. We don’t sell models: we sell the work of understanding where AI actually helps and getting it into production inside systems that already exist.

From assessing use cases to running them in production: AI discovery, integration with existing systems, security and guardrails, agents, compliance and computer vision.

Go to consulting and AI engineering →

Where AI meets sensors

The most advanced part of our research is not about text: it is about data coming from the field.

acquamArIna measures water quality continuously with eight probes and estimates eleven further parameters with a model trained on laboratory samples. The result is a single index, a public dashboard and an open API. Discover acquamArIna →

Karst Firewall combines a sensor we designed ourselves with predictive algorithms, to monitor wildfire risk and groundwater quality across the cross-border Karst region. Go to research and innovation →

Beach litter recognition was born inside the REMEDIES Horizon project: a computer vision model trained on images collected through a citizen science app, and today the basis of a platform project for environmental research. ⚠️ The research is ongoing: we are working on to develop poweful AI models for specific business fields.

Questions we get asked

Do you use AI on our employees’ data?

No. Our time and attendance and access control modules do not apply artificial intelligence to individual worker data, and the company resolution forbidding it is public. Where AI is present in our products, it works on technical documentation, commercial text and sensor data.

Is our data used to train models?

No. We use vendor models through programming interfaces that do not allow content to be used for training, and client data stays on our systems. The list of vendors is published on our transparency page.

Where is the data held?

In our own datacentre, in a former bank vault in Trieste, with Italian national cybersecurity agency (ACN) cloud qualification. Our cloud service data is hosted there; for AI features, the vendors involved and the data flows are listed on our transparency page. Go to the datacentre page →

Does the AI Act apply to you?

Yes, and we have dealt with it. Some access control and workforce management modules fall under Annex III of Regulation (EU) 2024/1689, which applies from 2 December 2027. We have classified our modules by risk level and completed the AI literacy training required by Article 4 for everyone in the company.