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Francesco Vigni, PhD · AI Consultant

I make AI survive contact with the real world.

I've spent my career on the gap between a model that works in a paper and a system that works in the field. From industrial and human-facing robotics to clinical AI imaging.

Who I work with

Hospitals & IRCCS

You're deploying your first clinical-AI system and need it to pass validation, satisfy GDPR and EHDS, and survive procurement, not just demo well.

R&D teams

You're building technical solutions and need experienced support on model performance, MLOps, and the path from prototype to real deployment.

How I help

Three ways to work together, depending on where you are.

01

Pilot

A fixed-scope engagement to prove feasibility before you commit further.

Teams testing whether a clinical-AI idea is worth a larger investment.

02

Support

An ongoing engagement as your embedded technical partner.

Teams building a clinical-AI system that needs senior depth they don't have in-house.

03

Transition

A hand-off engagement that leaves your team self-sufficient.

Teams ready to own a working system and run it without external dependency.

Is this a fit?

We're a good fit if

  • You have a clear, expected result in mind, not just "explore AI".
  • You're ready to go beyond a proof-of-concept toward something deployable.

Probably not a fit if

  • You're looking for a no-code, hands-off solution.
  • You expect a production system with no validation phase.

Selected work

Deployment stories: the constraints that mattered and what actually shipped.

Medical AI

Foundation Model for Gastroenterology Imaging

SSL pretraining strategy and cloud data pipeline for a ViT foundation model on 5M+ gastrointestinal video frames.

Edge AI

Edge AI Occupancy Monitoring System

Real-time people tracking and zone-based automation running on NVIDIA Jetson at the edge.

Robotics

Autonomous Navigation for an Industrial Cleaning Robot

An indoor autonomous navigation stack for a commercial ride-on floor scrubber.

See all work →

Trust & compliance

How clinical-AI work stays safe, compliant, and accountable.

GDPR & DPA

Patient-data work designed around GDPR and Data Processing Agreements from the start.

EHDS readiness

Data pipelines and governance built to anticipate the European Health Data Space.

Comfortable under NDA

Routine work within NDA boundaries; case studies are anonymized as needed.

Registered engineer

Member of the Ordine degli Ingegneri di Forlì-Cesena, with professional accountability.

Data governance

Anonymization, access control, and reproducibility treated as part of the engineering.

Have a clinical-AI problem worth solving?

A 15-minute call is the fastest way to find out if I can help.

Book a call