Insights

Strategic Collaborations Relation Therapeutics has established partnerships with major pharmaceutical companies such as GSK and Novartis, indicating a strong interest in collaborative development and commercializing transformative medicines. This presents opportunities to offer specialized services or technologies that support their joint research efforts.

Funding Momentum With recent investments totaling over $87 million from prominent investors like DCVC, NVIDIA Ventures, and Magnetic Ventures, the company is in a growth and expansion phase, potentially looking for additional funding sources, strategic alliances, or technology vendors to accelerate R&D activities.

Innovative Tech Focus Relation’s core use of advanced technologies such as single-cell analysis, machine learning, and multi-omics positions them as a leader in biotech innovation. Companies providing cutting-edge biotech tools, AI solutions, or data analytics could find strategic partnership opportunities.

Disease Focus The company's work targeting fibrotic diseases and osteoarthritis suggests potential for engaging with healthcare providers, biotech firms, or pharma companies interested in expanding treatments for these conditions or related therapeutic areas.

Growth Potential Operating in the biotech research industry with a relatively small team, Relations Therapeutics is poised for expansion as it scales up its high-resolution biology platforms. This scalability signals opportunities for service providers in recruitment, cloud infrastructure, or scientific instrumentation to support their growth.

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

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 LinkedInCrunchbase.

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 February 2026, Relation has approximately 114 employees across 3 continents, including EuropeAsiaNorth America. Key team members include Chief Executive Officer: D. R.Coo & Co-Founder: B. S.Chief Technology Officer And President Of Platform: L. E.. 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

Biotechnology ResearchEngland, 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

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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