Artificial intelligence in Pisa
We build artificial intelligence tools for Pisa companies: assistants that answer on recipes and procedures, daily checks on consumption and costs, forecasts of orders and workloads.
We’ve already made more than 70 companies better
Between research and production
In Pisa artificial intelligence has long been a subject of study, across the university, the Scuola Normale, Sant’Anna and research centres. Local companies, from the leather district tanneries to Pontedera engineering, from hillside farming to tourism, can put it to practical use.
A tannery can have an assistant answer on recipes and chemical safety data sheets; an engineering firm can check waste and machining times every day; a hotel or an agency can estimate occupancy to organise staff.
Being close to research brings skills, but also the temptation of overly ambitious projects. For a company, what matters is starting from a small, measurable use case with data it already has, and extending it only once it has proved its value.
Some of our projects
Artificial intelligence services
From the first use case to production, on your company’s data.
Chatbot AI
An assistant that answers on tanning recipes, safety data sheets and internal procedures, citing the document, useful to whoever sets up a process or prepares documentation for a customer.
Anølyzer
It checks chemical consumption, waste, times and sales every day and flags deviations to management, such as abnormal consumption on a batch of hides.
Predictions
It forecasts orders, raw material needs and department loads, so purchasing and shifts are decided in advance even when collections change.
AI adoption
We help you choose where to use AI, train your people and define rules on data and vendors in line with GDPR and the AI Act.
Digital that delivers concrete results in Pisa
Webion works on shared metrics to turn investments into tangible returns.
Measurable goals
Before writing code we set the indicators with you: hours saved, errors avoided, response times.
Pragmatic innovation
We pick the technology that solves the problem, not the fashionable one, and bring it to production step by step.
Frictionless delivery
Short, frequent releases, tried by the people who will use them, so the software enters the company without stopping work.
Hypotheses, measures, learning
Every release comes with metrics and retrospectives to fine-tune the roadmap.
Use case
We pick a concrete process and set the indicators that will measure the result.
Prototype
We build a first tool on your real data and test it with the people who will use it.
Production
We integrate it into your existing systems, with permissions, logs and security.
Measure
We compare results with the goals and decide together whether to extend, adjust or stop.
Concrete, measurable, on hand
We start from a prototype built in Modena and tried by the people who will use it. We are in Pisa to learn the processes, for field tests and for go-live, and work remotely for everything else. After go-live we check results against the goals and keep the tool up to date.
Clients who improved their KPIs
Our collaboration brings measurable benefits in efficiency, revenue and user satisfaction.
Lower churn thanks to personalised experiences and targeted notifications.
More digital conversions through UX optimisation and multivariate testing.
More productive teams through automation and operational dashboards.
AI that is reliable and governed
Document search
The assistant answers only from your documents and cites the source of every answer.
Permissions
Everyone sees only what they are allowed to see, and every access is logged.
Monitoring
We track answer quality, costs and usage, and step in when something changes.
Compliance
Every solution is designed in line with GDPR and the AI Act, with clear rules on data and vendors.