Artificial Intelligence
From proof of concept to real deployment: AI that answers to business metrics, not demos.
- Applied LLMs & agents
- Computer vision
- Predictive models
- MLOps & continuous evaluation
Engineering consultancy
Corporations & laboratories
We design, build, and operate the systems your operation depends on: from data to decision, from prototype to production.
/// Manifesto
AI isn’t magic: it’s engineering. Reliable data, measurable models, and software that survives production. That’s what we build, alongside the teams that cannot afford to fail.
/01 Services
From proof of concept to real deployment: AI that answers to business metrics, not demos.
The foundation of any serious AI: governed, traceable data, available wherever the business needs it.
Custom platforms that survive growth: secure, integrated, and maintainable for years.
The physical world turned into signal: from device and sensor to cloud, for plant, field, and laboratory.
/02 Industries
Two focuses, zero borders: the same engineering applies wherever there are processes to measure, automate, or scale.
A — Corporations
For organizations where downtime costs millions: AI-driven automation, data platforms at scale, and software that integrates with what already exists.
B — Science
For scientific teams generating more data than they can process: analysis pipelines, experiment automation, and AI applied to research.
[+] We also operate in
/03 Solutions
Proven archetypes we adapt to your context. Each one starts with a measurable first phase.
LLM agents over your organization’s documentation, contracts, and systems — with permissions, traceability, and zero data leakage.
Models on plant telemetry that anticipate failures before the line stops.
Reproducible processing of experimental data: from instrument to publishable result.
A single view of the operation: unified data, live indicators, and actionable alerts.
Fraud, quality, or security: models that watch your flows continuously.
Automatic quality control on the production line or sample counting in the lab.
Models that anticipate consumption and sales to plan inventory, production, and energy purchasing.
Automatic generation and validation of regulator-ready reports, with every data point traceable.
Don’t see your case? Even better — tell us the problem and we’ll design the system.
/04 Process
Every phase closes with a concrete deliverable. You know what you get and the metric it’s measured against.
We audit data, systems, and business goals. We identify where AI and data create real value — and where they don’t.
Deliverable — Roadmap prioritized by ROI
We design the complete solution: technical, security, compliance, and adoption plan, before writing a single line of code.
Deliverable — Technical blueprint & estimate
Sprints with working demos at every iteration. Testing, documentation, and quality control as part of the method, not a final phase.
Deliverable — System in production
Monitoring, continuous model evaluation, and system evolution. We don’t deliver and disappear: we operate alongside your team.
Deliverable — Monitoring & continuous improvement
/05 Why us
Small teams of senior engineers. No inflated management layers, no juniors learning on your budget.
Your data never leaves your perimeter. Security and compliance practices built into the architecture, not bolted on at the end.
We define the business metrics before writing code. If a project can’t be measured, we don’t recommend it.
We follow the state of the art in AI and take it to production — not to slide decks. What we propose, we have tested.
/06 Contact
Tell us the problem you want to solve. If we can help, we’ll say so clearly; if we can’t, we’ll say that too.
What happens next