Our Services

We innovate in the development and utility of nams and molecular key event (mke) biomarkers to detect chemical hazards. We offer consultancy and applications in the use of nams to our customers who require greater certainty at a lower cost in their health and environmental risk assessments.

What lies at the heart of our team is our goal to work with you to solve your problems in chemical safety science by using state-of-the-art molecular technologies and artificial intelligence.

Prospective Risk Assessment

We work with our customers to gain a deeper understanding of a chemical's modes of action, and to be ahead of the competition for safer chemicals and products. Our business works with industry to manage risk and to comply with chemical safety regulations. We work with regulators to advance nams in reporting toxicity data. We can also help the frontrunners at proposing safer alternatives to replace substances of very high concern (SVHC) under REACH. Simultaneously, we are developing international compliance standards for the application of these new approach methodologies in regulatory toxicology. 


Retrospective Risk Assessment

We work to better manage environmental health hazards from exposure to existing contaminants by non-targeted assays and artificial intelligence for detecting the chemicals that can cause harm. Our business offers services to the providers and regulators of natural resources to achieve quality standards. We help to better understand the risks to real-estate investors at developing on sites that may not be safe. We can also help provide new evidence to resolve disputes over regulatory decisions or for judicial cases involving potential victims of exposure to pollution.

The current level of certainty at predicting exposure-related health hazards is unsatisfactorily low.  We can do better.


Our explainable artificial intelligence solves the curse of dimensionality.

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Non-Targeted Assays

We measure the molecular signatures of toxicity as co-responsive networks of genes and metabolites that are reproducibly indicative of the harmful effects of chemicals, even as mixtures. 

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Artificial Intelligence

We analyze large high-dimensional data sets at low computational costs to provide robust associations among features, while explaining why they interact. 

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Molecular Key Event Biomarkers

For (i) exposure assessment, grouping & chemical read-across, (ii) for toxicity assessment & toxicity screening, and for (iii) diagnosing environmental factors causing harm.