ATONTECH

About us

The technology partner for enterprise systems.

We are a team of technology leaders with over fifteen years of experience building software solutions in production. We have designed systems for banks, international marketplaces and major tech companies. We join projects with clear technical ownership across architecture, delivery, integration and live operation.

The team

Ing. Andrea Tarquini

Ing. Andrea Tarquini

Founder & CTO · AI Product Developer · Senior Cloud Architect

Ing. Daniele Antuzi

Ing. Daniele Antuzi

Senior Software Architect & Developer

Ing. Elia Porciari

Ing. Elia Porciari

Senior Software Architect & Developer

Ing. Francesco Crecchi

Ing. Francesco Crecchi

PhD AI & Machine Learning · Senior Software Developer

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Ing. Andrea Tarquini

Ing. Andrea Tarquini

Founder & CTO · AI Product Developer · Senior Cloud Architect

13+ years engineering production-grade software across fintech, high-concurrency platforms, and enterprise AI. As Founder & CTO at ATON Tech, he focuses on taking AI from prototype to production with architectural choices that remain sustainable over time.

Background

From architecting mission-critical, high-concurrency pipelines for major banking institutions to leading enterprise AI deployments well before the Generative AI wave. He operates as a B2B consultant and CTO, leading senior teams to deliver end-to-end cloud transformations and complex digital initiatives.

Current focus

Integrating AI into real workflows beyond experimentation. Designing maintainable, scalable cloud architectures with explicit trade-offs and measurable business impact from the early stages of the project.

Ing. Daniele Antuzi

Ing. Daniele Antuzi

Senior Software Architect & Developer

Years of experience on critical systems where performance is non-negotiable. Market adapters in finance, global services at Amazon on SES, now research and information retrieval with international players. Latency, throughput and correctness above all.

Background

For years he designed and optimized adapters for financial markets in banking contexts: mission-critical pipelines, fault tolerance and strict reliability requirements. Then at Amazon on the SES service team, in a high-concurrency context with globally distributed architectures. In recent years he has focused on research, specializing in information retrieval and partnering with companies and global players on indexing and retrieval systems.

Current focus

Architectures for low-latency, high-concurrency systems, production-grade retrieval pipelines, design decisions backed by numbers.

Ing. Elia Porciari

Ing. Elia Porciari

Senior Software Architect & Developer

Years of software systems where performance matters. Deep experience with financial market adapters and high-concurrency contexts, now specialized in information retrieval and modern software architectures. Designs systems that stay simple even under load.

Background

Background in banking and financial markets, where he optimized adapters and mission-critical pipelines for banks and trading. In recent years he has focused on research, specializing in information retrieval and the design of modern software architectures: distributed, event-driven, evolvable. Collaborates with companies and top international players on retrieval and indexing problems.

Current focus

Applied information retrieval, modern software architectures, performance as a design constraint rather than a late-stage optimization.

Ing. Francesco Crecchi

Ing. Francesco Crecchi

PhD AI & Machine Learning · Senior Software Developer

PhD in Machine Learning with a focus on Adversarial ML. Spent years leading an R&D team delivering state-of-the-art solutions to law enforcement and intelligence agencies. Applies ML principles to the hardest information security problems.

Background

PhD in Computer Science from the University of Pisa with a thesis on 'Deep Learning Safety under Non-Stationarity Assumptions', after an MSc from Pisa with 110/110 cum laude. For over four years Head of Engineering of an R&D team specialized in solutions for law enforcement and intelligence agencies, shipping production ML systems for complex information security problems.

Current focus

Adversarial Machine Learning, model robustness against missing data and targeted attacks, applying AI to security problems where errors aren't an option.