Accumulated IT experience across development, software architecture, integrations and real operating environments before talking about AI.
About Peralia
AI consulting with technical depth and business judgement.
Peralia is a small firm based in Zaragoza that helps companies understand where AI genuinely fits, how to bring it into real processes and when it makes more sense not to force automation yet.
We have spent more than 25 years working in technology, software development and architecture, integrations and operations. That track record now translates into models, agents, automation and sensible adoption, always in business language and with technical judgement.
Being close helps when the job is really about understanding teams, processes and operating context without losing time.
We often work best nearby, but we do not limit ourselves when the fit, context and way of working are right.
Positioning
Technical track record, operational realism and proximity when it actually helps.
We are not trying to sound huge. We are trying to be useful to companies that value judgement, proximity and a serious technical reading before moving budget or touching processes.
More than 25 years in technology, now focused on useful AI.
We come from development, software architecture, integrations, data and operations. That is why a demo does not impress us if it does not fit the team, the process or the business reality behind it.
IT and processes
Real integration
B2B focus
A close base when context really matters.
We work especially well with companies in our environment because proximity speeds up context, conversations and better decisions. Even so, we do not close the door when the fit is clearly there.
Talk to PeraliaPoint of view
We are not interested in hype. We are interested in leaving better decisions behind.
AI can help a lot, but not everything needs an agent and not every process deserves to be touched yet. We like separating what sounds good from what a company can really sustain with its data, its team, its timing and its operating reality.
What we try to hold steady in every project.
Realism before hype.
We are not interested in inflated promises. We would rather say when something is not ready to deploy yet.
Technology explained in business language.
Models, agents, retrieval or automation only matter when they translate into understandable decisions.
Real proximity when it improves the work.
What matters is not the geographic headline. What matters is working better with teams and operations when the fit is real.
Small team, genuine involvement.
We are not trying to look bigger. We are trying to be more involved in the problem and reply with better judgement.