Area of expertise
Artificial Intelligence & Data
Systems that reach production and keep working when nobody is watching.
This is the area with the widest gap between demo and production. Building a prototype that answers ten questions well is an afternoon; building one that answers a thousand a day, on company data, without inventing answers and without exposing information it should not, is something else. Assessment here looks for exactly that difference: who has already put a system in front of real users and kept it running.
The second distinction is between automating and integrating. Wiring two tools together with a flow is fast and solves a lot. Putting a model inside a business process — with CRM, with invoicing, with whoever answers the customer — forces you to think about failure, cost per call and compliance. Different profiles, different budgets.
The profiles in this area
Tomás Vilela
AI Engineer
Illustrative profiles of the roles in this area. Real talent — with names, portfolios and rates — comes with the shortlist for each consultation.
Need one of these profiles?
Describe the project and get a shortlist of comparable proposals — rate, timeline and scope side by side, so you choose with the numbers in front of you.
I have a project →What can be delivered
- Assistant over your company documentation, with answers traceable to the source
- Agent that performs tasks inside a real process, with a record of what it did
- Automation between the tools you already use, with no manual work in between
- Classification and extraction from documents, email or forms
- Data dashboards and reports that update themselves
- Generative creative for campaigns, with brand control
- Computer vision for inspection, counting or reading images
- Quality evaluation and monitoring of a system already in production
Specialities in this area
- Automation and agents
- Computer vision
- Data and BI
- Fine-tuning
- Generative creative
- LLM and RAG applications
- Prompt engineering
When this is the right choice
Choose this area when there is repetitive work at enough volume to justify automating it, or scattered information nobody can query. Do not choose it in order to have artificial intelligence: choose it to solve a concrete task that costs someone hours today, and bring the number of those hours to the first conversation.
The other areas
Tell us the problem. We'll tell you who solves it.
Half an hour of conversation. If it isn't work for us, we say so in that conversation.