


Euretos Email Formats
Biotechnology Research • Utrecht, Utrecht, Netherlands • 1-10 Employees
Euretos Email Formats
Euretos uses 2 email formats. The most common is {first initial}.{last name} (e.g., j.doe@euretos.com), used 66.7% of the time.
| Format | Example | Percentage |
|---|---|---|
{first initial}.{last name} | j.doe@euretos.com | 66.7% |
{first name}.{last name} | john.doe@euretos.com | 33.3% |
Key Contact at Euretos
Aram Krol
Ceo
Company overview
| Headquarters | Yalelaan 1, Utrecht, 3584, NL |
| Website | |
| SIC | 737 |
| Keywords | Machine Learning, Big Data Analytics, Drug Repositioning, Deep Learning, Biomarker Discovery, Computational Biology, Target Identification, Natural Language Processing (Nlp), Knowledge Graphs, Literature Search, Life Sciences Data Integration, Multi Omics Analysis, Semantic Integration, Target Selection, Computational Disease Models, Target Assessment |
| Founded | 2012 |
| Employees | 1-10 |
| Socials |
About Euretos
The Euretos platform is a comprehensive companion for data-driven translational research, supporting researchers without requiring bioinformatics or data science expertise. It provides a broad suite of applications, predictive algorithms, and workflows that facilitate understanding disease mechanisms, discovering new drug targets, and assessing pharmacological pathways. Our platform focuses on the molecular, cellular, and biochemical aspects of drug development, enabling researchers to identify drug targets, assess their physiological roles, and understand downstream effects. By integrating data from biochemical assays, as well as drug, clinical trial, and adverse event data, Euretos helps identify relevant compounds and assess safety throughout the drug development process. Euretos integrates literature, patents, experimental, clinical, and real-world patient data into a vast biological knowledge graph, including: - 4.5 billion+ catalogued statements - 100 million+ publications & references - 2.5 million+ drug-related patents - 100+ multi-omics databases The platform offers ready-to-use workflows for efficient desk research, experiment design, and observation analysis, providing: - Novel insights from knowledge graph connections - Reliable interpretation of experimental results - Data-driven research without bioinformatics expertise - Informed experimental and clinical trial design Euretos also provides AI-predicted gene-disease associations using machine learning models that leverage biological networks, such as co-expression, protein interactions, and pathways, to quantify associations even without direct evidence.
Employees by Management Level
Total employees: 1-10
Seniority
Employees
Employees by Department
Euretos has 3 employees across 2 departments.
Departments
Number of employees
Funding Data
Euretos has never raised funding before.
Euretos Tech Stack
Discover the technologies and tools that power Euretos's digital infrastructure, from frameworks to analytics platforms.
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Frequently asked questions
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