Monolítica builds AI into how organizations operate, from diagnosis to production, alongside the teams who will use it.
What sets us apart
Sectors
Digital transformation, institutional knowledge and public process automation.
Production, logistics, maintenance and operational decisions.
Teams, shifts, suppliers and customer service for restaurants and chains.
Market intelligence, regulated documentation and sales teams.
Stories
Responsible operations
Built to work with existing systems and processes.
Clear access, responsibilities and usage rules.
Critical decisions remain under the teams' control.
Data protection and risk management from the design stage.
Updates
20 August 2026
Getting a response has become increasingly difficult. So we went back to the traditional way of doing things - We sent 100 handwritten, hand-stamped letters. It might be the most absurd way to do outreach in 2026. We’re the only ones in Portugal doing this. Let’s see the results.
10 August 2026
A few recurring challenges stood out - 1. Counting equipment is not enough. Each unit has its own history, condition and availability. 2. Before thinking about AI, the information needs to be structured and connected. 3. The most useful opportunities are often very practical, less manual work, easier access to information and better visibility across the operation. This is the kind of work we like doing at Monolítica. Understanding how a company actually works first, and only then figuring which systems to implement. Thanks to everyone at Norton Audio for the session.
5 August 2026
Three ideas stood out - 1. The knowledge is there, but it isn't documented. It lives in the heads of people who've been there for twenty years, in notebooks, or buried in old emails. 2. Tools don't fail because they're bad. They fail when they're layered on top of processes nobody has mapped, using data nobody really knows the source of, and sitting alongside the systems people already use instead of fitting into them. 3. AI doesn't solve any of this on its own. Once the workflows are understood and the data is organised, the hours spent on manual labour start to disappear. That's how we work at Monolítica. Thanks to the CMFD team for the opportunity.
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