Digital transformation
The knowledge of all your systems in one private AI
A modular ecosystem that runs on your own server and works as one single system: conversation, documents, email, meetings, data and automation, built on the knowledge the company already has.
We turn what a company already knows —its documents, its files, its people's judgement— into an intelligence of its own that works inside its server and answers with the source in front of it.
That no company should lose what it knows: that the judgement of those who leave keeps answering, and that no question worth asking has to leave the building to be answered.
Artificial intelligence as one more layer of the company's infrastructure —alongside the database or the intranet— and not as an external service you hand your information to.
Our platform is a modular ecosystem of AI-assisted microservices that can work as one.
Server, graphics and memory delivered as one module: the platform arrives ready to run.
Frontier models by API, with usage control: per-user metrics and cost forecasting.
Processes that cannot leave the building run here: nothing leaves the server.
Self-contained services, running 24/7, and not necessarily in the same place: document analysis, for instance.
A centralised document database with all the company's information: ideal for training models.
An intranet built 100 % around artificial intelligence: the gateway to your company's digital transformation.
Everything the company says, writes and decides ends up in a knowledge base of its own: that is where the AI modules come from that know how things are done here.
These are not finance models in general, but models of how finance is done here: they arrive once the base has enough material to teach them your judgement.
Five trades, one same platform: the same engine, applied to what each sector needs.
Professionals in these firms already use generative AI. The question is not whether to use it, but how to do so without compromising confidentiality. Entering client data into public tools, even a fragment, can amount to a breach of professional secrecy. We deploy AI inside your secure environment so you can consult files, emails and contracts without the information leaving the firm.
Use case: «Have we told this client anything by email that contradicts what we agreed in the contract?» The AI answers inside the firm, with traceability and without exposing confidential data.
A significant part of the critical knowledge on the plant floor and on site sits with professionals who have years of experience. It is not in the files: it is in decisions, adjustments and exceptions that were never documented. When those people retire, the organisation loses its ability to respond. We deploy AI to capture and preserve that knowledge: internal assistants that answer with manuals, histories and technical criteria, without depending on whether the person who knows is there.
Use case: «Why is this machine adjusted this way on Mondays?» The AI answers with the history of adjustments and the documented criteria, even when the technician responsible is not available.
In engineering and architecture, every proposal tends to start from scratch even when comparable projects exist. The judgement built up over years —solutions applied, change orders, cost overruns— sits scattered in files and folders that are not easy to consult. We deploy AI that structures and opens up that knowledge: your team asks in plain language and gets answers from the office's real history.
Use case: «What change orders did we have on jobs with a high water table, and what did they cost?» The AI answers with the projects, the line items and the amounts, without having to go through folder by folder.
As a public sector supplier, an inspection can require inventory, access control, traceability and training records at any moment. If that information is scattered or produced with public tools and personal accounts, it cannot be defended: there is no control and no traceability. We deploy AI in a private environment, integrated with your systems, so the data is structured and available for any request.
Use case: «What inventory, access and traceability can we prove today?» The AI answers with consolidated, dated and traceable records, ready to present.
In most organisations, the team already uses generative AI on its own initiative. Internal information goes into public tools, often from personal accounts and with no record. The result is a loss of control over the data and a total absence of traceability. We deploy AI in a private corporate environment: company accounts, usage logging, and data that does not leave the organisation.
Use case: «What information has left this week towards a public AI, and from which account?» With our deployment, the answer is available at any moment.
Tell us what your company does and what you would like to solve. We read every message and answer ourselves, with no middlemen.
Write to us
[email protected]If it is a good fit, we will tell you where to start. And if it is not, we will tell you that too.