Insights

Strategic AI Deep Genomics operates at the intersection of AI and biotechnology with a focus on Biological Foundation Models and lab-in-the-loop workflows. This presents a sales angle for platforms or services that accelerate AI-driven drug discovery, data management, and scalable model training suitable for collaboration or platform expansion.

Expansion Readiness Recent leadership updates and new board appointments signal a growth and governance emphasis, suggesting readiness for larger collaborations, strategic partnerships, and investment in scaled partnerships with pharma, CROs, or biotechs seeking AI-enabled discovery capabilities.

RNA Focus With BigRNA and RNA-centric models like DeepADAR and miRNA/mRNA interaction predictors, there is a clear opportunity to offer tools, datasets, or consulting around RNA biology analytics, therapeutics candidate discovery, and regulatory-grade data pipelines.

Platform Enablement The unified engine approach encompassing AI models, datasets, screening technologies, and software systems indicates value in selling complementary cloud, data engineering, MLOps, and security solutions that integrate with or extend the BioFM platform.

Market Positioning Revenue scale and substantial funding position Deep Genomics as a potential partner for co-development, licensing of foundation models, or joint ventures with pharma or biotech firms seeking accelerated discovery platforms and risk-sharing research collaborations.

Deep Genomics Tech Stack

Deep Genomics uses 8 technology products and services including Kubeflow, NetSuite, Keras, and more. Explore Deep Genomics's tech stack below.

  • Kubeflow
    Dev Tools
  • NetSuite
    E-commerce
  • Keras
    Machine Learning
  • Microsoft Windows
    Operating Systems
  • Bash
    Operating Systems & Computing Languages
  • Microsoft Azure
    Platform As A Service
  • C++
    Programming Languages
  • Python
    Programming Languages

Media & News

Deep Genomics's Email Address Formats

Deep Genomics uses at least 1 format(s):
Deep Genomics Email FormatsExamplePercentage
First@deepgenomics.comJohn@deepgenomics.com
78%
First.Last@deepgenomics.comJohn.Doe@deepgenomics.com
16%
Last@deepgenomics.comDoe@deepgenomics.com
6%

Frequently Asked Questions

What is Deep Genomics's official website and social media links?

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Deep Genomics's official website is deepgenomics.com and has social profiles on LinkedInCrunchbase.

How much revenue does Deep Genomics generate?

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As of July 2026, Deep Genomics's annual revenue is estimated to be $25M - $50M.

What is Deep Genomics's SIC code NAICS code?

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Deep Genomics's SIC code is 8731 - Commercial Physical and Biological Research NAICS code is 541714 - Research and Development in Biotechnology (except Nanobiotechnology).

How many employees does Deep Genomics have currently?

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As of July 2026, Deep Genomics has approximately 108 employees across 3 continents, including North AmericaEuropeSouth America. Key team members include Chief Executive Officer: B. F.Chief Operating Officer: T. M.Chief Business Officer: C. B.. Explore Deep Genomics's employee directory with LeadIQ.

What industry does Deep Genomics belong to?

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Deep Genomics operates in the Biotechnology Research industry.

What technology does Deep Genomics use?

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Deep Genomics's tech stack includes KubeflowNetSuiteKerasMicrosoft WindowsBashMicrosoft AzureC++Python.

What is Deep Genomics's email format?

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Deep Genomics's email format typically follows the pattern of First@deepgenomics.com. Find more Deep Genomics email formats with LeadIQ.

How much funding has Deep Genomics raised to date?

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As of July 2026, Deep Genomics has raised $237M in funding. The last funding round occurred on Jul 28, 2021 for $180M.

When was Deep Genomics founded?

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Deep Genomics was founded in 2014.
Deep Genomics logo

Deep Genomics

Biotechnology ResearchOntario, Canada51-200 Employees

Deep Genomics is a biotechnology research company based in Toronto, Ontario, Canada, with 51 to 200 employees. It focuses on solving molecular design and target biology problems by integrating lab-in-the-loop workflows with artificial intelligence through its Biological Foundation Models platform (BioFM). The BioFM platform provides a unified architecture for AI model development and refinement, fit-for-purpose training datasets, AI output dataset assets, screening technologies, and supporting information and software systems to accelerate drug-discovery activities. The company collaborates across disciplines to address problems that have historically required slow empirical iteration. It has launched RNA-focused AI foundation models such as BigRNA, along with related models including DeepADAR and REPRESS, and has announced governance updates involving board appointments.

Section iconCompany Overview

SIC Code
8731 - Commercial Physical and Biological Research
NAICS Code
541714 - Research and Development in Biotechnology (except Nanobiotechnology)
Founded
2014
Employees
51-200

Section iconFunding & Financials

  • $237M

    Deep Genomics has raised a total of $237M of funding over 6 rounds. Their latest funding round was raised on Jul 28, 2021 in the amount of $180Mas a series_c.

  • $25M - $50M

    Deep Genomics's revenue is estimated to be in the range of $25M - $50M

Section iconFunding & Financials

  • $237M

    Deep Genomics has raised a total of $237M of funding over 6 rounds. Their latest funding round was raised on Jul 28, 2021 in the amount of $180Mas a series_c.

  • $25M - $50M

    Deep Genomics's revenue is estimated to be in the range of $25M - $50M

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