Insights

Strategic partnerships Diamond Age Data Science has a track record of collaborating with leading genomics tools (notably 10x Genomics) to accelerate single cell data analysis. This indicates buyers who rely on cutting-edge bioinformatics platforms and need integration and accelerated data workflows.

Growth signals Significant funding activity, including a $50M Series A in 2022, suggests a growth trajectory with potential upsell opportunities in expanded services, capabilities, and longer-term collaborations as client programs scale.

Industry positioning Positioned as an integrated bioinformatics and computational biology partner for life science companies, serving mid-sized teams (11-50 employees) that require urgent, rigorous computational support—a sweet spot for expanding long-term engagement and repeat projects.

Operational readiness Utilizes a modern tech stack (AWS, Docker, GitHub, WordPress, HubSpot, Google Workspace) enabling scalable, secure, and reproducible data workflows—an appealing base for customers needing robust, repeatable analyses and compliant data handling.

Market expansion Recent leadership addition in business development and active event presence imply a focus on expanding market reach and generating new inquiries, presenting opportunities for targeted outreach to biotech, pharma, and research organizations seeking data-driven decision support.

Similar companies to Diamond Age Data Science

Diamond Age Data Science Tech Stack

Diamond Age Data Science uses 8 technology products and services including LinkedIn Ads, HubSpot Analytics, Amazon Web Services, and more. Explore Diamond Age Data Science's tech stack below.

Diamond Age Data Science's Email Address Formats

Diamond Age Data Science uses at least 3 email formats:
Diamond Age Data Science Email FormatsExamplePercentage
First@diamondage.comJohn@diamondage.com
76%
First.Last@diamondage.comJohn.Doe@diamondage.com
18%
FLast@diamondage.comJDoe@diamondage.com
6%

Frequently Asked Questions

What is Diamond Age Data Science's official website and social media links?

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Diamond Age Data Science's official website is diamondage.com and has social profiles on LinkedIn.

How much revenue does Diamond Age Data Science generate?

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As of August 2026, Diamond Age Data Science's annual revenue is estimated to be $1M - $10M.

What is Diamond Age Data Science's NAICS code?

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Diamond Age Data Science's NAICS code is 5417 - Scientific Research and Development Services.

How many employees does Diamond Age Data Science have currently?

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As of August 2026, Diamond Age Data Science has approximately 11 employees across 1 continents, including North America. Key team members include Head Of Business Development: M. D. Explore Diamond Age Data Science's employee directory with LeadIQ.

What industry does Diamond Age Data Science belong to?

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Diamond Age Data Science operates in the Research Services industry.

What technology does Diamond Age Data Science use?

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Diamond Age Data Science's tech stack includes LinkedIn Ads, HubSpot Analytics, Amazon Web Services, GitHub, Docker, WordPress, Google Workspace and 1Password.

What is Diamond Age Data Science's email format?

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Diamond Age Data Science's email format typically follows the pattern of First@diamondage.com. Find more Diamond Age Data Science email formats with LeadIQ.

When was Diamond Age Data Science founded?

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Diamond Age Data Science was founded in 2017.
Diamond Age Data Science logo

Diamond Age Data Science

Research ServicesMassachusetts, United States11-50 Employees

Diamond Age Data Science functions as an integrated partner for life science companies, bridging bioinformatics and computational biology to support decision-making in scientific programs. The firm brings substantial computational expertise across diverse life science environments, and its scientists tackle complex biological questions with urgency, adaptability, and scientific rigor.

Based in Boston, Massachusetts, the company operates as a small to mid-sized player within the research services sector. In 2020, it formed a collaboration with 10x Genomics to enhance the analysis of single-cell gene expression data, illustrating its role at the intersection of biology and data science.

Section iconCompany Overview

NAICS Code
5417 - Scientific Research and Development Services
Founded
2017
Employees
11-50

Section iconFunding & Financials

  • $1M - $10M

    Diamond Age Data Science's revenue is estimated to be in the range of $1M - $10M

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