Ask your documents
Your team asks in plain language and gets the answer with the source cited: contracts, reports, case files, procedures.
LEGAL · CONSULTING
Your AI lives inside your company, on your own servers. It works on its own, asks nobody, and sends nothing out. Enaiax builds it, maintains it and teaches your team to use it.
Built for sectors that handle sensitive information: legal, financial, healthcare, industrial and professional services.
What your team repeats every week, solved the way it has to be solved when a document cannot leave the building.
Your team asks in plain language and gets the answer with the source cited: contracts, reports, case files, procedures.
LEGAL · CONSULTINGContracts summarised, data extracted and files ordered in batches, without sending them to anyone else to read.
LEGAL · FINANCE · INSURANCEReports, emails and memos from your notes and your data. Your team reviews, corrects and approves.
ANALYSTS · AUDITORSAudio becomes text you can search and summarise. The recordings stay exactly where they were made.
LEGAL · HEALTHCAREDocuments and communications translated inside your company, without passing through outside services.
LEGAL · EXPORTExtracting, checking and ordering data that cannot leave your company, with a person reviewing the points that need it.
INDUSTRY · ADMINISTRATIONSending contracts, case files and client data to someone else's model means trusting your most delicate work to another company's security, pricing and plans.
| Aspect | In the cloud | In here |
|---|---|---|
| Your data | Leaves your network with every query | Never moves from where it is |
| What it costs | You pay per use, per token: recurring, unpredictable and growing | Your team and the electricity. No meter running |
| The model | Whichever the provider decides | Whichever you choose, and it can be changed |
| Control and auditing | Logs in someone else's hands | Your logs, your access rules |
| If the terms change | You renegotiate or you migrate | You never find out. The system is yours |
Having your own AI used to mean building all of it yourself. We hand it over working, with support and no surprises.
No architecture to decipher. The AI lives on your servers, knows your documents, and your team uses it from a private chat.
In your office or in your private cloud. We build it and leave it ready. The system is yours from the first day.
Documents, case files and internal data. All of it is processed inside your network, start to finish.
Ask, write, summarise, automate, from a private chat. Only your people get in, with the rules you set.
From the first plan to day to day support. One team responsible for making it work, without leaving you halfway.
We study your processes and your goals, and hand you a written plan with realistic costs and timescales.
We plan the hardware your case and your budget need, and leave all of it running.
Dimensioned for your workload, with the performance measured and documented.
Answers with the sources cited, drawn from your own information, without anything leaving your network.
For the work your team repeats every week: writing, summarising, extracting, sorting.
If a better AI turns up tomorrow, you change it. Without rebuilding the system and without asking a provider for permission.
So you use it and extend it on your own, without depending on us for the day to day.
We watch the system, keep it current, and plan what comes next with you.
AI projects fail by never finishing. Ours run in phases, are documented, and end. And afterwards we stay with you.
We study your processes, your data and your goals. You get a written plan, not a promise.
Equipment, access and an installation schedule, respecting the rhythm of your business.
Built, configured and tested on your infrastructure. Working and documented.
Support, training and a roadmap for whatever comes next.
Local AI has stopped being the awkward option. Three numbers and a legal framework explain it.
The best open models are only 6 points behind the leading proprietary ones on the reference indices. A year ago the gap was twice that.
SOURCE · ARTIFICIAL ANALYSIS77% of requests to AI do not need frontier models. For everyday work, a well chosen local model is more than enough.
SOURCE · ARTIFICIAL ANALYSIS88.7% of chat and reasoning queries are already handled by local models, which also double their efficiency every year.
SOURCE · ARXIV:2511.07885The GDPR allows fines of up to €20 M or 4% of global turnover, and the new Spanish AI law reaches €35 M or 7%. Meanwhile, several cloud AI providers have already been fined for training their models on user data without consent.
With the AI in here, your data never reaches anyone's servers: it cannot be used to train anything, and control and traceability stay with you.
A consultation with us is a working session: we go through your processes, your infrastructure and a realistic plan. No commitment.
Let us talk about your processes, your data, and what ought to stay under your control.
We will read it and answer within one working day. If you would rather get ahead of it, write to us at hello@enaiax.com.