Hello, I’m Claudio.
Glad you’re here.

I work with leaders rethinking how their organisations approach AI, quality and compliance. Let’s share perspectives, explore better ways of working and discover what we can build together.

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Before you go, stay for a little play.

A little room
for curiosity.

Untangle is a simple logic puzzle. Swap six points until none of the lines cross. A few twists along the way, and a satisfying finish.

No time limit. Play with your keyboard or touch.

Try Untangle Or enter the playroom

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Claudio D’Antonoli

Make the complexity manageable. Keep the judgement human.

The interesting work
happens in between.

Ideas become useful when the technology, the people, and the evidence work together. That’s where I focus.

Software engineering

Turning complex problems into clear requirements, considered architecture, and working software. From the first model to an interface someone can actually use.

Architecture · Cloud platforms · Product development

Applied AI

Exploring where AI can make work more useful: visual inspection, knowledge, and decision support. Keeping uncertainty visible and human judgement in the loop.

Computer vision · AI workflows · Decision support

Digital quality

Bringing a risk-based approach to computerised system validation and software assurance. Connecting requirements, testing, and evidence in regulated environments.

CSV / CSA · Traceability · Risk-based assurance

Thinking, made tangible.

A selection from my product work.
One from each brand I build under.

All eleven products at Axiaro (opens in a new tab)

The work, the doubts,
and what they taught me.

A running account of what I am building and what it is teaching me, in AI, quality and the places the two have to meet.

Coming soon.

I am deciding which pieces of my own work are worth writing up properly, and the first one is not finished. When it is, it will appear here and in the feed.

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An engineer’s curiosity.
A human perspective.

Claudio D’Antonoli

I’m interested in the whole problem: how a system is built, how its decisions can be understood, and how it fits the people who use it.

My work spans software products, AI, and quality in regulated environments. Across those areas, the same questions keep me grounded: What is the real need? What do we know? And how will we know whether it works?

Make the complexity manageable.
Keep the judgement human.

Let’s make
something useful.

A thoughtful conversation is a good place to start.