Graphing the Chemical Universe
Tell Me More


Machine Learning

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.

Products & Research


Predictive Toxicological Model

Searchable Database for Chemicals

Scientific Research

Academic and Commercial Research

Company History

Turning research into products.

  • January 2016

    Initial Research

    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.

  • September 2016

    UL Partnership

    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.

  • March, 2017

    Initial Product Launch

    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.

  • Moving Forward

    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.

  • Let's

Our Amazing Team

Combining rich experience across cheminformatics, machine learning, and business.

Tom Luechtefeld

Founder & Lead Scientist

Dan Marsh

Chief Technology Officer

TJ Bozada

Chief Revenue Officer

Contact Us  /  877-202-0205