Turn Choice Into Clarity
Increase conversion, engagement, and discoverability through custom recommendation systems or our production-ready personalisation engine.
"While building recommendation systems for our own platform, we saw that personalisation is never just about data or models.
It depends on understanding user behaviour, designing the right signals, and shaping the UX so those signals work with user psychology, not against it."
Victor Pleșcan, Founder & Solution Architect
Why Us?
We've Lived the Problem
We’ve been working on personalisation since 2020, building real products and seeing how quickly expectations around discovery and relevance have evolved.
Fast, Flexible Integration
Our own personalisation engine and real integration experience allow systems to be deployed quickly, fit existing architectures, and avoid unnecessary complexity.
Results First, No Lock-In
Engagements start with a fixed scope and clear success criteria.
No long-term contracts, no lock-in, just results you can evaluate.
How We Turn Signals into Decisions
A structured approach to designing and deploying personalisation systems, from initial feasibility to production integration.
Map Your Goals & Signals
We review your existing data, identify what actually predicts the behaviour you care about, and flag gaps before moving into implementation.
Design the Decision Logic
We design the ranking logic to balance business goals with user experience, then deploy it through your existing stack or a lightweight engine that fits your architecture.
Deliver & Refine
The system runs in production via API or embedded integration, with explainable ranking and real usage data used to evaluate and refine results.
Our Work in Action
Examples of personalisation systems built and tested in real-world product scenarios.
a-events.ie
Live prototype for cold-start event discovery built using Fáilte Ireland data.
Try the demo →Aruku Pilot Platform
Pilot platform exploring low-data personalisation for tourism attractions and experiences, currently being rebuilt with new data, UX, and recommendation models.
View platform →Want to see how industry leaders implement recommendations?
Explore Recommendation Systems Landscape →Ready to personalise your platform?
Choose a structured engagement: 30-day pilot or signal assessment