Solari SolutionsIT

Artificial intelligence, without the worry.

Trusted by

  • Allianz
  • Dassault Systèmes
  • Università degli Studi di Padova
  • Tietoevry
  • King's College London
  • Kaggle
  • Internet Computer
  • PlugPlug
  • WWF
  • Università degli Studi di Ferrara
  • 42 Berlin

Mission

Artificial intelligence is already here.
Adopting it is no longer a choice; adopting it well is.
We help you do it.

01 Reskill people

#skill_issue

Training people comes before the tools: knowing how to use them, judging their results, recognising their limits.

02 Secure data

curl -F file=@client_contracts.pdf api.openai.com

Confidential data stays in the company: models running on local systems, no document sent to outside services without a decision.

03 Secure systems

rm -rf /

AI tools can do only what is needed: limited permissions, no destructive actions, results checked before use.

Mission →

Services

01Trainingon request
02Consultingfrom € 900
03Local infrastructurefrom € 3,000, then from € 150 / month
Indicative prices, excluding VAT. The hardware is separate and stays yours.
In detail →

Team

Dario Solari

Applied LLM Research

Data scientist with over fifteen years of experience in applied statistics, machine learning and natural language processing, six of them as a consultant for Allianz in Trieste. He is a founding member of BeeViva, a University of Padua spin-off, and a Kaggle Expert. At Solari Solutions he leads applied research on language models.

Daniil Tolmacov

Cyber Security

Software developer in banking, in C++ for Tietoevry Banktech; previously in Rust for Plug Wallet. Trained at 42 Berlin, he continues with the master's in Cyber Security at King's College London.

Leonard Mangallon

AI Automation

Developer specialising in automation and AI agents. He builds AI-based SaaS products at 42Lab; at Dassault Systèmes he worked on the architecture of the CATIA AI agent. He founded PAC Intelligence.

Team →

Articles

Latest

Chartered accountants and artificial intelligence, inside and outside the firm

Since November 2025 the code of ethics of the commercialisti (chartered accountants) has regulated the use of artificial intelligence, and the National Council's guide devotes an appendix to installing a model in the firm. What the rules ask, what the management software offers, and when an on-premises system makes sense.

Dario Solari ·

Latest by Daniil

An AI model on a blockchain. What really runs on ICP, and what does not

The Internet Computer promises "on-chain" artificial intelligence, verifiable and free of any single cloud provider. We checked what has actually run inside the blockchain, what it costs, and where the prompt goes in the most advertised service.

Daniil Tolmacov ·

Latest by Leonard

Logbook, entry zero: the funeral in Austin and the smallest stack that works

On 23 September 2026 DHH opened Rails World by declaring handwritten code economically dead, and closed by telling the room not to take the black pill. This is the first entry of a logbook about building a small AI stack after that speech. It starts with what he actually said, then sketches the minimal toolchain.

Leonard Mangallon ·

Consulting

Notaries and artificial intelligence, between public office and management software

The notaio (civil-law notary) is a public official, and some tasks cannot be entrusted to anyone, let alone a model. Others, such as extracting data from land registry searches and documents or preparing the draft of a deed, are already offered by the management software with artificial intelligence, in the cloud. What the rules say and when an on-premises system makes sense.

Dario Solari ·

Consulting

Who needs local AI, and why

One of the questions we are asked most often is whether a local AI system would not be better. For most small businesses, no: it costs more than the cloud and does less. It makes sense where confidentiality is an obligation, by law or contract, and where it is a choice, because some data you do not want to entrust to anyone. Two questions not to confuse, the sums, and what to do in any case.

Dario Solari ·

Consulting

Who trusts what. How companies choose between cloud AI and AI in-house

The big AI providers promise by contract not to use companies' data. Many companies trust them, others do not, and both are right. What Samsung, the banks, Bosch, Lockheed, Airbus and the German government actually did, and the rule they share.

Dario Solari ·

Local infrastructure

Where models come from. Hugging Face, the July attack and the real risks of downloading

In July OpenAI's agents broke into the systems of Hugging Face, the site almost everyone downloads open models from. The models, according to Hugging Face, were not touched. The risks for anyone running them in a company are different, older and more mundane, and they are handled with the rules that apply to any software.

Dario Solari ·

Consulting

The AI Act for those who use artificial intelligence, not for those who produce it

The European regulation is written mainly for those who develop artificial intelligence systems. For a company that uses them the obligations are few and precise. What they are, from when they apply, and what the Italian law adds.

Dario Solari ·

Training

Skills come before servers

In 2025 the use of artificial intelligence in Italian companies doubled. But among those that assessed it without adopting it, the first obstacle is not cost: it is the lack of skills.

Dario Solari ·

Consulting

How far to trust ChatGPT and Claude with company data

OpenAI and Anthropic promise not to train their models on companies' data and to delete it within thirty days. The promises are written down and certified. What they do not promise, and what no contract can cover, is what matters in the choice.

Dario Solari ·

Local infrastructure

Large models on the desk. What Framework shows with Gorgon Halo, and what it doesn't

Framework has presented on video its Desktop with 192 gigabytes of memory and the new AMD processor. It runs on a single machine models that until yesterday needed two connected computers. For an office working with long documents, though, the right question is a different one.

Dario Solari ·

Local infrastructure

What runs on a company's own machine, and how far it is from ChatGPT and Claude

The open models a company can run on a computer it owns are six months to a year behind the best models in the cloud. The gap, however, is not uniform. On questions put to one's own documents it almost disappears; on world knowledge and expert-level tasks it remains wide.

Dario Solari ·

Local infrastructure

The council of models. PewDiePie, Linux and artificial intelligence at home

The world's most-followed YouTuber has spent a year and a half leaving Windows, then Google, then the cloud chatbots, and building himself an artificial intelligence at home that votes, conspires and gets banned by OpenAI. A light story with a serious moral.

Dario Solari ·

Local infrastructure

Two weeks local. ThePrimeagen and artificial intelligence at home

One of the internet's best-known programmers, a former Netflix engineer, decided in January 2025 that offline models were "the way to go". He bought hardware, ran DeepSeek on six borrowed graphics cards and wrote his own assistant in four days. Then he stopped. Why he stopped matters to every company.

Dario Solari ·

Local infrastructure

Two weeks by hand. The Salus case and what artificial intelligence has to do with it

On 31 August 2026 a ransomware attack stopped Policlinico Triestino, the group behind the Casa di cura Salus, for two weeks. What happened, what worked, and why the hasty adoption of artificial intelligence opens doors of the same kind.

Daniil Tolmacov ·

Local infrastructure

Take away all of its rights. NVIDIA's idea, and how to apply it without NVIDIA

After a summer of OpenAI agents escaping their sandboxes, NVIDIA presented a platform that does not ask the model to behave. It fences the agent in, puts the monitor on another processor and leaves it only the rights it needs. The idea is fifty years old, the hardware part is out of a small company's reach, the principle is not.

Daniil Tolmacov ·

All articles →