Futura AI
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About Us

The people behind the systems.

Futura AI grew out of something we kept seeing in the field: most generative AI projects in Italian organizations die in the demo. Not because of the models, but because nobody designs everything else — data, permissions, integrations, controls. We founded Futura AI to work on that “everything else”.

We are not a generalist software house, an IT company or a web agency that has added AI to its services. We are a studio specialized exclusively in designing Generative AI systems for organizations with complex processes, sensitive data and high reliability requirements.

That “everything else” is our craft. We design the system around the process: which data it can use, which sources it must cite, which actions it can perform, when it must stop, which decisions remain human and which indicators prove that the project is creating value.

Where we come from

Applied research

Researcher in Data Science: scientific method to define hypotheses, metrics, evaluation datasets and reliability criteria.

Executive education

Teaching at Bologna Business School and continuous dialogue with managers, CIOs and innovation leaders.

Production engineering

Software systems that stay in daily use, integrated with the management systems, databases, APIs, document systems and IAM already in place. Not lab prototypes.

Where we work

For the second consecutive year, Futura AI is incubated at the Serre dei Giardini by ART-ER in Bologna, as part of the program for startups and innovative SMEs within the Emilia-Romagna regional innovation ecosystem.

Who leads the project

Daniele Grotti

CEO & Founder

Leads the design of Futura AI's Generative AI systems, from initial assessment to production rollout. Writes the technical and methodological pieces published on the blog and authors the AI Act whitepaper.

  • Researcher in Data Science
  • Faculty at Bologna Business School

How we work with you

Every project has a Futura AI lead you can name, who follows the system from the assessment through to KPI measurement. We do not work at a safe distance: we get into the processes, we talk to the people using them, and we stay after go-live.

This is why we do not promise shortcuts. A serious AI project requires analysis, governance, testing, integration, training and continuous improvement. Only then does technology stop being an experiment and become operational infrastructure.

Ongoing dialogue with leadership also runs through mentorship from Prof. Silvi (business economics, University of Bologna): it exists to translate a technical constraint into a business decision, not just to validate it technically. It's also one reason an Assessment takes two weeks, not two months: with no internal approval layers to cross, decisions get made within a conversation.

Who is accountable for what

Assessment and architecture

Led directly by the named lead on the project, from the first analysis to the choice of systems.

Vertical specialists

Brought in on the specific project when specific expertise is needed — not a fixed structure added by default.

After go-live

We stay: support, continuous improvement and KPI review are part of the project, not a separate contract to renegotiate.

Partners and programsAWS PartnerART-ERNVIDIA Inception ProgramEmilia-Romagna Region

Our clients

Public and private organizations we work with, grouped by relationship type: systems in production, institutions, education and research, other projects and collaborations.

Institutions

Emilia-Romagna Region

Public Administration

Bologna Chamber of Commerce

Public Administration

Education and research

University of Bologna

Education and research

Research on brand sentiment analysis with language models

IFOA

Vocational training

Innovation and AI training projects

Fondazione ITS Academy Adriano Olivetti

Vocational training

AI training project

Burndown Studio

AI solutions

AI training

This is why public bodies, banks, insurance companies and industrial organizations can entrust us with the design of their artificial intelligence systems: they are not looking for a tool, they are looking for expertise, method and design responsibility.

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