References

Here are some of our reference projects.

KU Leuven

Some time ago we got word that KU Leuven ICTS was looking for an application to demo the AI capabilities of their new GPU supercomputer called Genius. And who better to build such an application than the newly minted Deep Learning division of an AI prototyping company? That’s right! Brainjar, aiming to bring the iterative and rapid development practices of Craftworkz to cutting edge deep learning projects, worked with the people at ICTS to create a demo that would demonstrate the power of their new GPU powerhouse.

Esoptra

At Brainjar we strongly believe in our "human-in-the-loop" philosophy. That's why we partnered up with Esoptra to create the ultimate user-friendly way to interact with a Deep Learning algorithm. By combining Esoptras' patented smart folder technology and our Deep Learning expertise, we created a deep learning classifier that you are able to train from your file explorer! Simply drag and drop files to classify them automatically, or to retrain the AI when necessary. So easy, even our grandma's can use it! (We tested)

VDAB

VDAB has a database of over 11000 competences, which describe an employee within his or her function. This database keeps on growing. One the biggest challenges is avoiding duplicate competences and grouping competences which resemble each other. Given the size of the database it is no longer possible to perform this manually. The aim of this project was to build an AI based solution which automatically links similar competences.