Our origins lie in academic research, which is the foundation on which our products are built. By combining years of expertise in machine learning research with hands-on commercial experience, we are identifying and addressing one by one the parts of the puzzle that are missing to build an active learning framework that addresses the needs of the industry.

The mission of Secondmind labs is to provide the machine learning expertise and the know-how that fuels our product, and to explore innovative ideas to address currently open questions. Our main areas of expertise are probabilistic modelling and Bayesian optimisation, which are the two main ingredients required in active learning. Our work in these areas covers a large spectrum that goes from theoretical contributions to developing practical tools: We are both known for our very strong scientific publication record and for the open source toolboxes that we make available to the world.

The team is led by our Chairman, Carl Edward Rasmussen, Professor of machine learning at Cambridge University. Under his leadership, our team of researchers and engineers uses proven mathematical principles to build scalable tools that solve problems in a range of businesses and a variety of sectors.

We have published more than 70 papers in top machine learning journals and conferences over the past years. More importantly, the quality of the work that we are pushing forward has been recognised by three best paper awards: ICML in 2019 and AISTATS in 2020-2021.