Forcive was recognized as the Company of the Month, so I share the story behind it, how we evolved from a streaming NoSQL engine into a real-time AI data platform. I discuss the obstacles of operationalizing AI at scale, the importance of transparent and explainable models, and my vision for a future where real-time analytics power faster decisions while teams stay focused on innovation and high-value work.
AI that understands, decides & acts. See the work.
Deep tech + industry pragmatism.
Talks that bridge math, AI, and operations.
CEO @ KAPTO | Self-Driving Workflows for the Enterprise | Mathematician-turned-entrepreneur
I build AI that works. Not in demos, but in production.
Get to know me
I am a mathematician by training and a serial entrepreneur with more than 25 years of experience in IT and Artificial Intelligence. Over the course of his career, he has co-founded and scaled multiple technology companies successfully. Today, as Co-Founder and CEO of Kapto AI, we work with organizations such as Deloitte, Helvetia, Revo, and Poltrona Frau, helping them transform document-heavy processes into reliable, end-to-end digital workflows. My leadership is marked by intellectual rigor, operational clarity, and the ability to make complex technologies understandable for both executives and technical audiences. I am also known for building multicultural, high-performance teams and creating environments where innovation translates directly into measurable results.
My passion? Solving real-world challenges in industries where accuracy, compliance, and efficiency are essential.
What I’ll teach your room
Building AI systems that learn & stay stable
How to design feedback loops, guardrails, and monitoring so models adapt to changing data without breaking SLAs - practical patterns for stability in production.
Trust at speed: Audit trails that don’t slow you down
Quality gates, escalation rules, and audit logs that satisfy regulators and speed up work. Where people stay in the loop and why it matters.
Digital workers for insurance: From claims inbox to closed case
Real cases of claims/underwriting workflows moving from “extract & hand-off” to end-to-end digital workers that own outcomes, cut cycle time, and reduce error.
Smart manufacturing: From supplier docs to traceable ops
How manufacturers digitize supplier/quality documentation and maintenance records into reliable, auditable flows: raising uptime and improving traceability across plants.
If you want talks that skip the theatre and show the mechanism — how systems learn, stay stable in production, and meet real constraints — I’m your guy. We’ll keep it practical, precise, and tied to outcomes.
My current company
Kapto AI builds digital workers, not copilots. These systems take responsibility for workflows end-to-end: classifying, extracting, validating, and escalating exceptions when necessary. The results are accurate, auditable, and production-ready. The company enables faster claims processing, more precise underwriting, and operational durability in industries where compliance and accuracy cannot be compromised.
Media & Publications
Interviews with me
Interview with the Analytics Insight Magazine
2025
I share my leadership philosophy, the inspiration behind my work, and how KAPTO AI is shaping the future of AI-driven automation. I discuss the challenges of AI adoption, the role of trust in enterprise AI solutions, and my vision for a future where AI enhances decision-making while allowing professionals to focus on strategy and innovation.
Interview with The Tycoon Magazine
2024
I share my path, why I built KAPTO AI, and how we’re pushing IDP beyond field extraction toward autonomous, content-understanding agents. I touch on lessons from 25+ years in tech and the client results that keep us focused on systems that work in the real world.
Interview with the Corporate Vision
2019
My previous firm Forcive found success in CV’s Corporate Excellence Awards 2019 where twe were selected as the Most Innovative Big Data Analytics Company of 2019. On the back of this win, Corporate Vision News profiled the firm and me.
Interview in the Analytics Insight Magazine AI and Cognitive Science special issue
2019
My writings
AI4Business — Enterprise & Insurance Articles (Italian)
2023
A set of Italian-language articles on introducing AI into enterprise information systems – data governance, maturity models, and practical adoption paths in insurance – with co-authored pieces alongside Helvetia’s leadership. Focus: moving from pilots to scaled, operational AI.
When AI slips out of control: why the future urgently demands Minimal Viable Models (MVMs)
2025
An English-language essay arguing for small, auditable, task-specific models over sprawling LLMs to keep AI predictable in production, reducing jailbreak/overreach risk and improving governance, monitoring, and outcome reliability.
Scientific work
Scientific Track
Math that does the work
My research sits at the junction of commutative algebra and effective computation. Results emphasize algorithmic clarity, correctness, and scalability - principles I carry into applied work.
my research focus
I am, at heart, a mathematician. My journey wound through Italy, the United States, and eventually to PhD studies in Mathematics & Computer Science at the Universität Passau. In those years, my research lived in the world of computational algebra and symbolic computation – multigraded Hilbert functions, Gröbner bases, the Buchberger algorithm. They were long days spent with algebraic structures that felt almost like companions.
That early work shaped more than my academic path, it shaped how I think. It taught me to value formal clarity, correctness, and the discipline of understanding complexity before building anything that matters. Later, statistics and computer science added new layers, but the foundation was set back then.
Most of those papers were written in the late ’90s, in another era entirely. Yet they’re still cited today – more than a hundred times by now – which feels a bit like seeing an old photograph resurface unexpectedly. A reminder that ideas, if crafted with care, can keep their place in the world long after the moment that created them.
academic publications
- Computing minimal finite free resolutions. A. Capani, G. De Dominicis, G. Niesi, L. Robbiano - Journal of Pure and Applied Algebra, 1997
- Multigraded Hilbert functions and Buchberger algorithm. M. Caboara, G. De Dominicis, L. Robbiano - Proceedings of the 1996 international symposium on Symbolic and algebraic computation, 1996
- Kähler differentials for points in P^n. G. de Dominicis, M. Kreuzer - Journal of Pure and Applied Algebra, 1999
- Web Algebra. A. Capani, G. De Dominicis - Proceedings of WebNet 96 - World Conference of the Web Society San Francisco, 1996
Collaboration, speaking, or media inquiries.
Ready when you are.
Explaining real AI.
Cutting the bullshit.
Talks and papers for people who actually build.