We are open to collaborative projects where cheminformatics, AI, and scientific expertise come together to create practical research value and explore new approaches to scientific decision-making.
We collaborate with academic groups on applied research questions, translational methods, and publishable cheminformatics or AI innovation.
We support motivated students through focused projects that combine rigorous scientific questions with modern computational methods.
We partner with life science industry actors on targeted R&D projects where pragmatic AI and cheminformatics can improve scientific workflows, decision-making, and innovation outcomes.
ToxComponents acts as a skills hub, bringing together experts across computational toxicology to create reusable digital toxicology components and drive new paradigms of safety assessment. Their collective model assembles the right expertise for each project, delivering high-quality, fit-for-purpose solutions without the overhead of a traditional consultancy.