This is where the technical detail lives: how it's trained, how it connects to your data, how it works with your teams and how it's maintained over time.
Owning a model isn't enough. That brain needs to breathe your operational data, feed on your sources and know where it stands. That's the whole system we build.
Your model
trained on what's yours
MÉDULA/SYSTEM · CONTINUOUS FLOW 24/7
Connected to what your company produces every day. Without constant flow, any model fades out.
Documents, systems, history and your people's judgment. That's what makes it expert in your business and nothing else.
It starts out knowing how your sector and your country work. It doesn't learn that on the fly.
The brain serves sales, operations and security, with permissions and traceability. If it doesn't circulate, it's useless.
We don't hand over a brain in a box. We hand over the body that keeps it alive and growing.
Three layers, always in this order: the engine we train, the governance that controls it, and the application your teams use.
A 1B–14B model built on open bases, calibrated with your country and industry context, then trained on your company's real data and sources. Every client gets a different engine.
Security, audit, and RAG over your live data: what goes in, what comes out, and who sees what. Connected to the continuous generation of data from your operation.
A tailored front-end — chat, copilot, or agents — so the business can use it. The interface changes; the brain stays the same and improves over time.
The same architecture can be the central infrastructure of a business born autonomous. That is Ser Humani: agents completing coordinated objectives among themselves, without point-to-point supervision.
The core reads your real sources — ERP, CRM, documents, sensors — and distributes the objective among specialized agents working in parallel.
Each team consumes what it needs: sales, operations, and security see different results from the same engine.
IT keeps the control plane: permissions, traces, consumption, and a button to stop everything.
Every model is born with country and industry context. Then we configure it for your company: sales, customer acquisition, risk, or operations.
local regulation, language, and market
sector jargon, processes, and compliance
focus on sales, risk, or operations
The architecture is custom-designed so the brain is well oxygenated and the competitive advantage accumulates inside your company.
built case: Vitalentic
Receives, prioritizes, and routes patients 24/7 with the judgment of the hospital's best triage.
How is it built?
A configuration example — the final design is defined with your company, case by case.
scheduled consultation · latency 0.4 s · on-premise
EUNACOM accuracy
built case: Vigil AI
Detects outbreaks in farming centers days before they become visible.
How is it built?
A configuration example — the final design is defined with your company, case by case.
risk score · 24h
▲ +56 pts
alert issued 6 h before event · current 78
feed vs. plan
7 days · −39% loss
content moderation
It doesn't just say “toxic”: it explains why, who it attacks, and leaves the criterion auditable.
How is it built?
A configuration example — the final design is defined with your company, case by case.
input
“…those people shouldn't have a voice in this country…”
1 · intent classifier
2 · reasoning judge
›target group identified
›intent to exclude: yes
›ironic context: no
confidence
verdict
derogation
target group: nationality
banking, insurance, factoring & capital markets
Evaluates risk and answers regulation without any sensitive data leaving your institution.
How is it built?
A configuration example — the final design is defined with your company, case by case.
score decomposition · deterministic
output
64
/ 100 · traceable
every point is explained by an auditable factor
precision agriculture
Turns satellite and drone images into decisions per block, weeks in advance.
How is it built?
A configuration example — the final design is defined with your company, case by case.
NDVI · 30 blocks
5 in stress
block 13
0.30
Irrigate within the next 48 hours.
Upcoming industriesIf yours isn't here, it's because we haven't built it with you yet.
Let's talk about your industryWe calibrate and validate your Corporate Language Model on stations like NVIDIA DGX Spark, then transfer it to your own infrastructure.
We calibrate your CLM on the NVIDIA DGX Spark AI Server platform: 128 GB of GPU memory and 4 TB of storage for high-performance local training.
The model is trained and operated on your infrastructure. Your data and know-how never leave your network.
We don't deliver a notebook: we deliver a tested, documented engine ready to be governed by the IT team.
NVIDIA technology partner for AI infrastructure.The difference between a demo and something that runs in production, inside a regulated industry, lies in who trains and evaluates the model — not who writes the prompt.
A team with doctorates in AI, mathematics, and data science. They guarantee precise training, validated with hypotheses, benchmarks, and iteration — better than any generic LLM on the market.
Technical access to the teams behind the open bases we use, with the latest calibration techniques.
The brain is trained inside with your data and your sources. Every company gets a customized model, not a copy of the same engine.
Not academic benchmarks: the certification a human professional in that industry would have to pass.
The model doesn't grow from just any information — it grows from the right information. If your own team feeds it irrelevant, contradictory, or poorly built context, it learns the wrong things, the same way a person would. That's why we don't disappear after installing it: we curate what feeds it, so it grows on what actually matters to your business.
We don't sell a brain and walk away. We keep it alive.
Book 30 minutes and we'll show you what information is leaking out today, unnoticed.