About Swell
We are not just trainers. And we’re not just consultants.
At Swell, we teach and build — combining strategic insight, technical expertise, and real-world experience to deliver measurable results.
Over the years, we’ve worked with companies of all sizes — from growing startups to large corporations — designing training programs, building custom apps, and transforming how teams use data to make decisions.
What makes Swell different is our dual commitment:
We believe the best way to master a platform is by applying it to real problems. That’s why we bring hands-on experience from complex client projects into the classroom — and bring a teaching mindset into every consulting engagement.
Why choose Swell?
Whether you’re looking to upskill your team, build a tailored solution, or rethink your use of data and AI — we’re here to help.
Let’s talk
If you think we might be a good fit, get in touch.
We’re happy to discuss your challenges and explore how Swell can help.
About Nuno Nogueira
My background is in business management and corporate finance, but for the past decade I’ve been working at the intersection of technology and strategy.
I specialize in the Power Platform — particularly Power BI, Power Apps, and Power Automate — and I’ve helped dozens of organizations improve how they manage, report, and act on data.
I’m passionate about combining data, design, and decision intelligence to create elegant, practical solutions that empower people and teams.
Want to learn more about my work or get in touch?
Check my LinkedIn profile.
News From My Blog
Hotel Pricing Optimization: Dumb AI Agents (Part 4)
Most discussions about AI agents start from the wrong premise: that an agent should be intelligent, reason autonomously, and make decisions. This is precisely what makes most agents unfit for real business use. In this pricing system, the agent does not decide anything. It does not “think”. It does not…
From intuition to intelligence: Building a hotel pricing agent (Part 3) – Take me to the cloud
At this point, we have a disciplined conversational agent that recommends hotel room prices backed by a machine learning model trained on historical hotel data. No intuition, no heuristics, and no AI hallucinations. While this setup already delivers strong pricing recommendations, it still runs locally, which limits its usefulness in…
From intuition to intelligence: Building a hotel pricing agent (Part 2) – The data model
Now that we have a conversational agent that understands natural language and can provide a simple, heuristic-based, hotel price recommendation, we need to take the solution one step further: we want the recommendation to be based on the actual hotel data, to look at competitor prices, season, occupancy rate, etc.…