We bring to our clients a unique kind of value, not found in published scientific research. It works on several levels and leaves a unique mark. The cornerstone of our approach is openness. We keep no secrets when we work and we actively create opportunities for our users to understand how our solutions work in practice. This transfer of knowledge adds value through trust and a growing confidence, and builds the capacity for AI work in our clients’ teams.
We build models that are transparent, helping users understand how they work. We show how AI makes decisions and suggestions, on two levels. We ensure that users can understand how a model decides, both in general and in each specific case. We find creative ways to achieve a high level of interpretability and explainability, qualities that make AI accessible to users. Our goal at every turn – explainable AI – the one characteristic of AI system that makes all the difference.
On AI side, we collect and process data, label it, develop algorithms, train and evaluate models, then release a safe solution. Our software teams go through similar steps: they design, develop, test and deploy workable products in the meantime. The trick is to synchronize these two disparate tracks. We do it with passion, strong customer focus and a habit to share. Plus joint storyboards. The agile way.