Insights

Innovative Technology Adoption Relation's core focus on leveraging cutting-edge technologies such as single-cell analysis, multi-omics, machine learning, and genomics positions it as a leader in transformational biotech solutions. Sales efforts can target other biotech firms seeking advanced analytical platforms to accelerate drug discovery and development.

Growth Potential in Biotech Sector With a focus on developing therapies for severe diseases and an end-to-end drug discovery pipeline, Relation is well-placed to tap into expanding markets driven by increasing healthcare demands, especially in personalized medicine and high-resolution biology, creating opportunities for collaborations or services.

Partnerships in Data Analytics The company's use of machine learning tools like PyTorch and Python indicates a strong emphasis on data-driven insights. This offers opportunities for partnerships with organizations looking to enhance their analytical capabilities or integrate biotech data solutions.

Research and Development Focus Relation's commitment to understanding human biology at a granular level suggests a potential market for research service providers, suppliers of omics technologies, and integrated biotech platforms seeking to collaborate on high-resolution biological analysis.

Market Expansion Opportunities Based in London and operating with a relatively small team, Relation may benefit from strategic partnerships or sales expansion into regions with robust biotech ecosystems such as the US, China, or Europe, to accelerate growth and market penetration.

Relation Tech Stack

Relation uses 8 technology products and services including Ansible, Illumina, LottieFiles, and more. Explore Relation's tech stack below.

  • Ansible
    Configuration Management
  • Illumina
    Data Management
  • LottieFiles
    Design
  • Squarespace Commerce
    E-commerce
  • PyTorch
    Machine Learning
  • Python
    Programming Languages
  • Trello
    Project Management
  • Yii
    Web Frameworks

Media & News

Relation's Email Address Formats

Relation uses at least 1 format(s):
Relation Email FormatsExamplePercentage
First@relationrx.comJohn@relationrx.com
38%
First.Last@relationrx.comJohn.Doe@relationrx.com
22%
Middle@relationrx.comMichael@relationrx.com
2%
First@relationrx.comJohn@relationrx.com
38%

Frequently Asked Questions

Where is Relation's headquarters located?

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Relation's main headquarters is located at London, GB. The company has employees across 3 continents, including EuropeAsiaNorth America.

What is Relation's stock symbol?

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Relation is a publicly traded company; the company's stock symbol is CCRC.

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

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Relation's official website is relationrx.com and has social profiles on LinkedIn.

What is Relation's SIC code NAICS code?

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

How many employees does Relation have currently?

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As of October 2025, Relation has approximately 106 employees across 3 continents, including EuropeAsiaNorth America. Key team members include Chief Technology Officer And President Of Platform: L. E.Chief Innovation Officer: J. P. T.Head Of Ceo Office: J. M.. Explore Relation's employee directory with LeadIQ.

What industry does Relation belong to?

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Relation operates in the Biotechnology Research industry.

What technology does Relation use?

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Relation's tech stack includes AnsibleIlluminaLottieFilesSquarespace CommercePyTorchPythonTrelloYii.

What is Relation's email format?

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Relation's email format typically follows the pattern of First@relationrx.com. Find more Relation email formats with LeadIQ.

When was Relation founded?

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Relation was founded in 2019.
Relation

Relation

Biotechnology ResearchLondon, United Kingdom51-200 Employees

We are an end-to-end biotech developing transformational medicines, with technology at our core.

Our ambition is to understand human biology in an unprecedented way; discovering therapies that will treat some of life's most devastating diseases. We leverage single-cell and multi-omics measurements directly from patient tissue, functional assays and machine learning to drive disease understanding — from cause to cure.

Medicines born from high-resolution biology, machine learning and clinical insights.

Our Lab-in-the-Loop seamlessly integrates single-cell analysis, genomics and machine learning. We have developed powerful technologies which we apply to select druggable targets and develop transformational medicines.

Section iconCompany Overview

Headquarters
London, GB
SIC Code
8733 - Noncommercial Research Organizations
Stock Symbol
CCRC
NAICS Code
541714 - Research and Development in Biotechnology (except Nanobiotechnology)
Founded
2019
Employees
51-200

Section iconFunding & Financials

  • $1M$10M

    Relation's revenue is estimated to be in the range of $1M$10M

Section iconFunding & Financials

  • $1M$10M

    Relation's revenue is estimated to be in the range of $1M$10M

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