We leverage your research by helping your team embark on epigenetic research and giving you access intelligence built on 150,000+ epigenomes.
150,000+
Reference samples
850k+
CpG sites analyzed
Multi
AI model architecture
§ Why epigenetics
Why epigenetics belongs in disease research.
Genome-wide association studies have mapped thousands of variants linked to common disease. For most of these diseases the variants explain only a small fraction of risk, and individual effects are weak.
Much of the remaining risk reflects lifestyle and environment — diet, infection, inflammation, ageing and exposure. The epigenome is where those factors are recorded.
DNA methylation shows how lifestyle and environment shape gene regulation in each cell, in each individual. It is the layer a genotype cannot capture.
Adding it to your work gives a mechanistic read-out that sits much closer to the biology of the disease you study.
§ What we do
Raw methylation data, turned into results you can publish.
Starting from raw data — including Illumina DNA methylation arrays or Twist Human Methylome — our pipeline delivers a structured report with publication-ready figures, alongside the CpG, gene and pathway findings behind them.
The work suits any stage. If you are new to the field, we help design the study and run the full analysis. If your group already handles methylation data, we extend what you can do with it.
§ Explainable AI
Four pretrained models, included with every project.
Each model is explainable by design — every prediction traces back to the CpG sites and biological processes that drive it. Not tied to a single disease, they give a functional read-out of systemic change in any cohort.
01
Biological age
A functional read-out of systemic ageing traced back to the CpG sites driving the prediction.
02
Cardiovascular health
Methylation-derived signal of cardiovascular state, explainable down to gene and pathway.
03
Lung health
A pretrained model capturing respiratory health changes across cohorts and conditions.
04
Metabolic health
Systemic metabolic read-out useful for stratifying cohorts beyond a single disease label.
§ Our background
A decade in human epigenetics.
For more than ten years our founders have studied epigenetics in human biology. We were among the first to show how allergy, infection and inflammation reshape the epigenome of immune cells, and we pioneered explainable AI for the interpretation of epigenetic data.
Our platform combines genome-wide DNA methylation data with multi-model machine learning to capture how lifestyle, environment, and life events leave traces in the epigenome.
We deliver intelligence via custom data feeds, analytical reports, and licensed model access. Engagements are governed by standard data-protection and licensing agreements.
§ Publications
Our research within epigenetics.
For more than 10 years, we have explored the field of epigenetics in human biology. We were among the first to study how infections affect the epigenomes of our immune cells, and pioneered the development of explainable AI that interprets epigenetic data.
