Insights

Biological Knowledge Graphs Euretos creates biological knowledge graphs that harmonize public and proprietary data, offering valuable insights for target selection processes in biopharma companies. Highlighting this capability can position Euretos as a key partner for enhancing target discovery and assessment strategies.

Data-Driven Target Selection By leveraging computational disease models for target prediction and structured assessment workflows, Euretos empowers biological researchers in biopharma companies to make informed decisions. This data-driven approach enhances preclinical target discovery, indicating potential sales for Euretos in supporting drug development efforts.

Risk Mitigation in Drug Development Euretos' solutions aim to maximize confidence in preclinical target selection and assessment, ultimately reducing the risks and time frames associated with drug development. This risk mitigation proposition can appeal to biopharma companies looking to streamline their drug development processes and drive efficiency.

Maximizing Preclinical Confidence Positioning Euretos as a partner for maximizing preclinical confidence in target efficacy and safety can resonate with biopharma firms seeking to enhance the success rates of their drug candidates. Highlighting Euretos' role in improving target selection processes may open doors for collaboration and sales opportunities.

Therapeutic Context Tailored Workflows Euretos' development of structured target assessment workflows tailored to specific evaluation criteria and therapeutic contexts addresses the unique needs of biopharma researchers. This customization can be highlighted to showcase Euretos' ability to provide tailored solutions that support the diverse requirements of potential clients.

Euretos Tech Stack

Euretos uses 8 technology products and services including Google Ads, Google Ads Conversion Tracking, Hotjar, and more. Explore Euretos's tech stack below.

  • Google Ads
    Advertising
  • Google Ads Conversion Tracking
    Analytics
  • Hotjar
    Analytics
  • Google Analytics
    Analytics
  • Linkedin Insight Tag
    Analytics
  • jQuery CDN
    Content Delivery Network
  • HubSpot Cookie Policy Banner
    Cookie Compliance
  • Facebook
    Widgets

Media & News

Euretos's Email Address Formats

Euretos uses at least 1 format(s):
Euretos Email FormatsExamplePercentage
First.Last@euretos.comJohn.Doe@euretos.com
47%
First@euretos.comJohn@euretos.com
3%
First.Last@euretos.comJohn.Doe@euretos.com
47%
First@euretos.comJohn@euretos.com
3%

Frequently Asked Questions

Where is Euretos's headquarters located?

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Euretos's main headquarters is located at Yalelaan 1 Utrecht, 3584 NL. The company has employees across 2 continents, including EuropeNorth America.

What is Euretos's official website and social media links?

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Euretos's official website is euretos.com and has social profiles on LinkedIn.

What is Euretos's SIC code NAICS code?

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Euretos's SIC code is 8733 - Noncommercial Research Organizations NAICS code is 541714 - Research and Development in Biotechnology (except Nanobiotechnology).

How many employees does Euretos have currently?

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As of May 2023, Euretos has approximately 21 employees across 2 continents, including EuropeNorth America. Key team members include CTO: O. B. H.Head Of Scientific Products And Services: S. R.Ceo: A. K.. Explore Euretos's employee directory with LeadIQ.

What industry does Euretos belong to?

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Euretos operates in the Biotechnology Research industry.

What technology does Euretos use?

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Euretos's tech stack includes Google AdsGoogle Ads Conversion TrackingHotjarGoogle AnalyticsLinkedin Insight TagjQuery CDNHubSpot Cookie Policy BannerFacebook.

What is Euretos's email format?

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Euretos's email format typically follows the pattern of . Find more Euretos email formats with LeadIQ.

When was Euretos founded?

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Euretos was founded in 2012.
Euretos

Euretos

Biotechnology ResearchUtrecht, Netherlands11-50 Employees

With over 70% of failures in the clinical stage attributed to the choice of drug target, preclinical target selection is the most impactful step in drug development. We collaborate with biopharma companies to address this issue by establishing a data-driven, actionable target selection process that maximizes preclinical confidence in target efficacy and safety. 

We contribute to this in the following ways. We create biological knowledge graphs that harmonize public and proprietary data, making it available across the target selection process. Based on this, our computational disease models predict novel targets and provide insights in the underlying disease biology. We then empower biological researchers to assess these target predictions by developing structured target assessment workflows tailored to their specific evaluation criteria and therapeutic context. 

This enables biopharma companies to maximize confidence in preclinical target discovery, indication expansion and target assessment, lowering the risks and time frames of drug development. 

Section iconCompany Overview

Headquarters
Yalelaan 1 Utrecht, 3584 NL
SIC Code
8733 - Noncommercial Research Organizations
NAICS Code
541714 - Research and Development in Biotechnology (except Nanobiotechnology)
Founded
2012
Employees
11-50

Section iconMedia & News

Section iconFunding & Financials

Section iconFunding & Financials

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