Hector, the Artificial Intelligence Platform by TN Solutions

Hector is the artificial intelligence platform built by TN Solutions for SMEs: it runs AI models against your company's internal knowledge base without sending data to external services. It lets you create document assistants, automate the reading of paperwork and connect AI to the management systems you already use, all while keeping the infrastructure under your control.

In this article we explain what Hector does, how it works at a technical level, where it is installed and why a model that keeps data in-house makes sense for a small or mid-sized business. We tell it as a System Integrator with more than 25 years of experience, certified to ISO 9001 and ISO 27001, based in Melzo (Milan, Italy).

What Hector Is

Hector is the software that turns a server into a working tool. An AI server on its own is nothing more than idle compute power: you need a platform to orchestrate the models, manage business documents and provide an interface that non-technical people can actually use. That is precisely what Hector does.

At its foundation lies a simple principle: artificial intelligence should work on your company's data, not on generic knowledge. A public language model knows a great deal about the world, but it has never seen your contracts, your specifications, your internal procedures or the history of your projects. Hector bridges that gap by connecting the models to your business documentation, so the answers are relevant to the real context your people work in every day.

The whole thing is designed to run inside the company or on dedicated infrastructure, not as an anonymous pay-as-you-go service. Whoever owns the data keeps control over where it lives and who is allowed to query it.

How It Works: RAG, Knowledge Base and Integrations

The technical core of Hector is an approach known as RAG (Retrieval-Augmented Generation). Instead of relying solely on the model's memory, the system first searches for the relevant documents in the company knowledge base and then generates the answer based on that material. The result is more accurate and, above all, verifiable: the reply cites the internal sources it was drawn from.

The flow, in simplified terms, looks like this:

• Document ingestion: PDFs, contracts, manuals, emails and technical sheets are imported and split into portions.
• Vector indexing: each portion is turned into an embedding, a numerical representation that makes it possible to search by meaning rather than by exact wording.
• Retrieval: when a question is asked, the system pinpoints the most relevant passages in the knowledge base.
• Generation: the language model composes the answer using those passages as context, with references back to the sources.

Around this core, Hector integrates with the systems already in place: ERPs, CRMs, file servers and mailboxes. The goal is not to replace existing tools but to give them a layer of intelligence that cuts repetitive manual work. To dig deeper into the infrastructure that hosts these workloads, we have written a dedicated guide on how to build a local server for AI.

Concrete Use Cases for an SME

Hector is not a demo: it was built to solve everyday problems. Some typical examples:

• Document assistant: a technical office queries thousands of pages of specifications and regulations in plain language, getting the answer together with the reference to the source document.
• Automated paperwork reading: invoices, delivery notes and orders are read and extracted into structured fields, reducing manual data entry.
• Internal support: a new hire instantly finds procedures and company policies without interrupting colleagues.
• Contract and tender analysis: the system flags clauses, deadlines and requirements, speeding up the work of the legal or sales team.

Where Hector Runs: On-Premise and Data Sovereignty

The fundamental difference between Hector and generalist cloud AI services comes down to where the data ends up. With many public services, the information you send is processed on third-party infrastructure, under retention rules you do not control. For a company handling contracts, customer data or production information, that is a real and tangible risk.

Hector can be installed on a server in your office or on dedicated infrastructure managed by us. In both cases the guiding principle is data sovereignty: the information stays within a perimeter the company controls and is never used to train third-party models. This simplifies GDPR compliance and aligns with our ISO 27001 certification for information security management.

There is an economic advantage too. Cloud AI services are billed on usage, per token or per compute hour: with intensive, continuous use the monthly bill climbs quickly and stays unpredictable. Dedicated infrastructure carries a defined upfront cost and, once the break-even point is passed, processing becomes essentially a fixed cost.

Why Choose Hector with TN Solutions

Adopting artificial intelligence is not just a software problem. You need correctly sized hardware, virtualisation, a segmented network, backups and proper hardening. The value of Hector lies in the fact that behind it there is not only a platform but a single point of contact that follows the whole chain.

In practice, with TN Solutions:

• We design the infrastructure: servers, GPUs, RAID storage and high availability, sized around the models you need to run.
• We secure it: network segmentation, least-privilege access control and encrypted backups, in line with the cyber security we manage for our clients.
• We maintain it over time: model updates, monitoring and support, backed by our IT assistance team.

There is no passing the buck between whoever supplies the hardware, whoever installs the software and whoever manages security: it is all under one roof. This integrated approach is why many SMEs choose us as their partner for artificial intelligence for business, rather than as a mere licence reseller.

The reliability is measurable: more than 25 years in business as a B2B System Integrator, ISO 9001 and ISO 27001 certifications and an average rating of 4.7 on Google from 37 reviews. These are the foundations on which we build every AI project, without vague promises.

Let's Bring AI into Your Business with Hector

Want to find out whether artificial intelligence can genuinely help your SME, without giving up control of your data? Our specialists analyse your documents and processes, size the infrastructure and support you all the way to putting Hector into production.

Call TN Solutions on 02 9517550 or write to us from the contact page: together we will scope out a concrete, secure and measurable AI project.