Years of enterprise project experience, in one team.
We are a team of data, AI and software engineers in Budapest and Belgium. We work with companies that have their own IT or data team but need extra experience and capacity for a data, AI or development task.
In the coming years, what decides things won't be how fast code gets written, but who understands the business problem, who can connect the systems, and who reliably sees the work through.
AI speeds up development, but in an enterprise environment the real work is elsewhere: in good requirements, good architecture, thorough checking, and making the new system fit in with the existing ones. That is what we built our team on.
That is why we work with directly accessible, experienced engineers, clear responsibilities and together with the client's own team – from the data platform through the AI feature to the business application.
40+ colleagues who work on the projects
Budapest · Belgium
We work under an ISO 9001 certified quality management system and an ISO/IEC 27001 certified information security management system: the same controlled processes on every project, and client data handled accordingly.
Clients work with us because our engineers fit into the team and see through what they take on.
average client rating
We have been working with the SCALER team since 2018, and over the years our collaboration has become closer thanks to their positive and proactive attitude, and their understanding of business challenges.
Their team was really focused on making sure the matching algorithm worked really well.
They met all milestones and delivered the project within the agreed-upon timeline.
They are really deeply digging into the details to make the best shape of each part of the product.
Bring a specific data or AI problem.
In 30 minutes, one of our experienced engineers talks through the situation with you and what it would take to solve it. Not a sales pitch.
For one selected business need, we look at which data and integrations are needed, what is missing, and in what steps it makes sense to deliver it.
We deliver one well-defined use case, with data sources, access rights and quality expectations agreed in advance.