Predictive analytics
Machine-learning solutions that help teams read what is happening, anticipate what comes next and decide at the right time.
From university research to financial, business, clinical and industrial impact.
We transfer results from university research in data and artificial intelligence into tools that work inside real organisations.
We translate advances in AI and data into solutions that fit real industrial processes, systems and constraints.
Machine-learning solutions that help teams read what is happening, anticipate what comes next and decide at the right time.
Transparent and accountable tools designed around the people, evidence and consequences involved in each decision.
Scalable components shaped to fit existing workflows, systems and constraints instead of forcing a separate technology stack.
Start with the decision or process that needs to improve.
Shape the solution around the available data and real constraints.
Bring models and tools into the organisation’s working ecosystem.
Whattadata is a spin-off of the University of Milano-Bicocca. We bring results from data and artificial-intelligence research into industrial contexts, turning them into practical solutions for decisions, operations and services.
Academic origin, applied to real organisational contexts.
We begin with the decision, the people and the constraints around it.
Models become valuable when they fit the workflow that depends on them.
Responsible systems make their data, limits and reasoning easier to inspect.
Three focused systems. One shared approach: make complex data understandable, inspectable and useful.
Keeps therapy connected between sessions through two purpose-built interfaces.
Connected care for therapists and patientsQuestions long documents while keeping every answer connected to its source.
Inspectable evidence for evidence-sensitive teamsConnects wearable onboarding, data continuity and research-ready exports.
Wearable research for researchers and participants
Controllo di Gestione
CEO
Finanza
CTO
Ricercatore@UNIMIB
Lead AI
Advisor
Professore@UNIMIB
ML e sviluppo