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Epinn® is Cyclomics' cutting edge tumour classification software 

Epinn® combines methylation sequencing with machine learning to classify tumour types quickly and accurately. Built for clinical and research use, it analyzes methylation patterns to help identify tumour origin, even in complex or ambiguous cases, with multiple models tailored to different tissue types and sample conditions. Epinn® includes Nature published models such as Sturgeon. 

At a Glance

✓  Sequencing platform agnostic (ONT, IDAT, and more under development)

✓  Calibrated confidence scores (≥0.95 cut-off) for reliable decision-making

✓ Patient-agnostic model — no retraining needed, runs on standard laptop hardware
✓ Comprehensive digital karyotyping, including CNV analysis — with SV detection and SNV calling coming soon!

✓ Clinical enterprise ready!

Epinn® App

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Our tumour classifiers

Central nervous system
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CNS-tumour classification in <90 minutes done intraoperatively. More accurate than all current available methods! Classification made possible by Sturgeon or Epinn-CNS

Sarcoma
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Sarcomas are rare and notoriously difficult to classify. Over 100 subtypes exist, and misidentification leads to suboptimal treatment. Our classifier will provide rapid, precise subtyping to support earlier, better-targeted intervention.

Leukemia
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Accurate leukemia classification is critical; the distinction between AML, CLL, ALL, and other subtypes directly determines treatment strategies. Our classifier accelerates subtype identification, helping clinicians reach the right therapy faster.

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Oral squamous cell carcinoma 

OSCC accounts for over 90% of oral cancers, yet early-stage cases are frequently missed or misclassified. Our classifier enables rapid, objective stratification; supporting earlier diagnosis when outcomes are most favourable.

Breast cancer
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Breast cancer treatment hinges on molecular subtype; luminal, HER2-enriched, or -/-/- tumours each require a different therapeutic approach. Our classifier will deliver fast, reliable subtype identification.

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Custom model

Working on a cancer type not yet covered? We can build a bespoke classifier trained on your own dataset and tailored to your clinical workflow. Get in touch to discuss how a custom model could work for your institution.

Resources

Oncode Institute

may 2026

Cyclomics secures an exclusive worldwide license from Oncode to Sturgeon software, technology, and IP, enhancing its Epinn platform for rapid DNA methylation–based cancer classification

Sturgeon

Oncode Institute

April 2025

Oncode Investigator Jeroen de Ridder & Cyclomics receive Health~Holland PPP subsidy to continue developing brain tumor classifier

More in the works

Nat Geo

October 2024

Meet Sturgeon, the AI tool that helps doctors identify brain tumors faster than ever

Sturgeon

Nature

October 2023

Ultra-fast deep-learned CNS tumour classification during surgery

Sturgeon

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