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 the needs of our customers by building an Active Learning framework to meet some of the most complex model-based design and development challenges.

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 time pressures, increasing number of parameters and the software-defined car. Our main areas of expertise are probabilistic modeling and Bayesian optimization, the two foundational ingredients of Secondmind 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.

Our team is led by our Chief Science Officer, 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.

To date, we have published over 70 papers in top machine learning journals and conferences. Most recently, our team achieved a 100% acceptance rate on the five papers we submitted to NeurIPS 2021.  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.