ToxTrack’s executive team has over 20 years of experience in data processing, data-driven modeling, and building software products that utilize machine learning methodologies.
ToxTrack’s current suite of products focus on applying machine-learning techniques to chemistry. Our models and tools reduce the need for laboratory testing, saving time and money.
ToxTrack doesn’t just build models, we also build visualization tools that help researchers explore the chemical space.
ToxTrack Co-Founder, Tom Luechtefeld, published a series of articles exploring the public data set released by the European Chemical Agency. The research focused on exploiting the large volume of data to inform predictive models.
Seeing the need for accurate predictive toxicological tools, UL partnered with ToxTrack to turn Tom’s research into fully-fledged products that reduce the need for animal testing and help companies comply with global regulations.
The formal product launch of UL REACHAcross -- a groundbreaking tool for predictive toxicology. UL REACHAcross uses advanced machine learning techniques, trained one of the largest chemical data sets, to inform its predictions.
ToxTrack continues to develop novel tools and technologies. We are always looking for new opportunities to collaborate on projects within and outside the toxicological and machine-learning communities.
Founder & Lead Scientist
Chief Technology Officer
Chief Revenue Officer