For product teams and companies deciding where AI creates value, what to build, and how to ship it.

AI consulting that turns an operational problem into a reliable system

From feasibility and data to prototype and deployment: practical technical direction for companies applying AI beyond the demo.

Discuss the problem

Where we help

  • Technical feasibility and ROI assessment
  • RAG, NLP, and process automation
  • LLM architectures and local models
  • Pipeline, data, and deployment audits

What your team receives

  • Opportunity and risk map
  • Architecture and implementation plan
  • Measurable proof of concept
  • Prioritized technical roadmap

From uncertainty to a verifiable delivery

1 / 3

Diagnosis

We clarify the goal, data, constraints, and success metric before choosing technology.

2 / 3

Technical proof

We reduce risk with a measurable prototype or a product vertical slice.

3 / 3

Delivery

We build, integrate, and document a solution your team can maintain.

People, not a black box

Simone Zannini and Matteo Cese stay involved through analysis, development, and delivery. Roles, profiles, and CVs are public.

Questions before starting

Do you always start with an AI model?

No. We start from the decision or process to improve. If a deterministic solution is better, we say so.

Can you work with our internal team?

Yes. We can work alongside product and engineering, transferring decisions, code, and documentation.

Bring the problem, not a perfect specification.

We reply within two working days with the first technical questions and a sensible next step.

magosimo99@gmail.com