Insights

Diversity-focused platform Global community of women experts and influencers in AI presents a ready-made channel to engage with a niche, high-interest audience for gender diversity initiatives, AI ethics, and workforce development programs.

Funding scale Reported revenue range of 25-50 million suggests substantial budget capacity for partnerships, sponsorships, and enterprise-grade programs, indicating potential for multi-year collaborations and sponsored events.

Strategic partnerships Opportunity to offer co-branded initiatives, training, and certification programs to augment partner ecosystems, amplify outreach to women in AI, and align with organizations seeking diversity impact.

Tech stack maturity Use of standard web and cloud technologies (WordPress, Google Cloud, MySQL) indicates openness to scalable digital offerings, data-driven campaigns, and potential for hosted training platforms or analytics services.

Market positioning Similar groups with strong revenue signals suggest a competitive landscape; position proposals could emphasize thought leadership, measurable diversity outcomes, and community-driven impact to win sponsorships and collaborative ventures.

Women in AI Tech Stack

Women in AI uses 8 technology products and services including MySQL, Google Cloud, RequireJS, and more. Explore Women in AI's tech stack below.

MySQL

Database

Google Cloud

Infrastructure As A Service

RequireJS

Javascript Frameworks

WebsiteBuilder

Page Builders

WordPress.com

Platform As A Service

Yoast SEO

Search Engines

HSTS

Security

Bootstrap

UI Frameworks

Women in AI Email Formats	Example	Percentage
First@womeninai.co	John@womeninai.co	100%

Women in AI Email Formats

Example

Percentage

First@womeninai.co

John@womeninai.co

100%

Frequently Asked Questions

What is Women in AI's official website and social media links?

Women in AI's official website is womeninai.co and has social profiles on LinkedIn.

How much revenue does Women in AI generate?

As of July 2026, Women in AI's annual revenue is estimated to be $25M - $50M.

What is Women in AI's NAICS code?

Women in AI's NAICS code is 54172 - Research and Development in the Social Sciences and Humanities.

How many employees does Women in AI have currently?

As of July 2026, Women in AI has approximately 256 employees across 6 continents, including EuropeNorth AmericaAsia. Key team members include Chief Education Officer: N. R.Chief Research Officer: V. M. S.Chief Of Staff: B. A.. Explore Women in AI's employee directory with LeadIQ.

What industry does Women in AI belong to?

Women in AI operates in the Think Tanks industry.

What technology does Women in AI use?

Women in AI's tech stack includes MySQLGoogle CloudRequireJSWebsiteBuilderWordPress.comYoast SEOHSTSBootstrap.

What is Women in AI's email format?

Women in AI's email format typically follows the pattern of First@womeninai.co. Find more Women in AI email formats with LeadIQ.

When was Women in AI founded?

Women in AI was founded in 2016.

Women in AI

Q: What is Women in AI's official website and social media links?

Women in AI's official website is womeninai.co. Women in AI has social profiles on LinkedIn.

Q: How many employees does Women in AI have currently?

Women in AI has approximately 256 employees.

Q: What technology does Women in AI use?

Women in AI's tech stack includes Module Federation, WordPress, HTTP/3, reCAPTCHA, Polyfill.

Q: What is Women in AI's NAICS code?

Women in AI's NAICS code is 54172 (Research and Development in the Social Sciences and Humanities).

Think TanksÎle-de-France, France201-500 Employees

Women in AI operates as a global community within the think tanks sector, bringing together women who are experts and influencers in artificial intelligence. Its mission is to close the gender gap in AI by empowering women and increasing awareness of gender diversity within the field.

Based in Paris in the Île-de-France region, the organization maintains a worldwide network focused on advancing gender diversity in AI. It offers avenues for participation, including membership in the community and partnership opportunities.

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Women in AI Tech Stack

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