Planning effective human‑machine collaboration

We help organizations align people and technology for better decisions. Our expertise guides organizations to acquire and adapt to new technologies or maximize the utility of those already acquired. We analyse your team characteristics, operational constraints, possible costs and benefits, and help you increase your gains within your human-machine collaboration possibilities.

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About AlineaTech

We partner with agriculture, industrial, and defense organizations that want to improve productivity and team satisfaction but struggle to adopt technology in ways aligned with workforce skills, preferences, and legal/ethical constraints (e.g., AI Act). Our framework optimizes decision‑making in human–machine teams, producing tangible benefits: choosing the right technologies, smoother adoption, higher engagement, and more effective investments. Unlike generic consulting or one‑size‑fits‑all digital tools, we deeply integrate team contributions, context‑specific constraints, and cost‑benefit analysis into technology selection, ensuring operational wins and human alignment, grounded in academic research at leading institutes.

Value
  • Right technology choices for each context.
  • Smoother adoption with engaged teams.
  • Investment decisions grounded in cost‑benefit and measurable outcomes.

Sectors we serve

Industry
Automation, logistics, quality, continuous improvement.
Agriculture
Operational efficiency, worker enablement, safe/ethical tech adoption.
Defense
C2/ISR, human–AI teaming, responsible adoption with mission outcomes.

Founders

Miguel Centeio Jorge
Material Flow Specialist, Preh Group

Logistics specialist with a Master’s in Service Engineering & Management (FEUP) and a BSc in Business Administration (FEP). Early experience in Group M&A & Management Control at MDS Group. Integrates computer science, math, statistics, and process improvement—bringing a disciplined, high‑energy approach from years of competitive sports.

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Carolina Centeio Jorge
PhD Researcher, Interactive Intelligence — TU Delft

MSc+BSc in Computer Science and Engineering (FEUP). Researcher in human‑AI teaming, behaviour modelling, and trust dynamics; programming across Python/R/JS. Leadership roles at TU Delft (PhD council) and visiting researcher at the University of Michigan (U.S.A.). Focused on transparent, fair, and human‑centric AI that understands teammates and acts accordingly.

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