Women in Machine Learning
Women in Machine Learning (WiML) is a US non-profit that supports women and gender minorities in machine learning through a yearlong mentorship program, a professional directory, profile spotlights, co-located workshops, a Slack community, and a mailing list, funded by corporate sponsorships.
- Company typePrivate
- Founded-
- Headquarters—
- Headcount—
- GTM typeB2C
- OfferingServices
What Women in Machine Learning does
Women in Machine Learning (WiML) is a US-based non-profit organization that works to increase awareness and appreciation of the achievements of women in machine learning. Its mission centers on helping women and gender minorities in ML build technical confidence, develop professional voice, and gain visibility for their research and technical accomplishments. The organization operates under a Board of Directors and Senior Advisory Council governance structure and is supported by a small team of approximately 13 employees.
WiML delivers its mission through a portfolio of community programs rather than a unified software product. Core offerings include a yearlong Mentorship Program, a searchable Directory of women and gender minorities working in machine learning, a Profiles program that spotlights research and technical accomplishments, co-located WiML Workshops at major ML conferences, a WiML Community Slack workspace for networking and job sharing, and a Google Groups-based mailing list for official announcements and calls for papers. The technology stack supporting these services is standard community infrastructure — a Wix-hosted website, Slack, and Google Groups — with no proprietary AI/ML product components.
WiML's business model is sponsorship-funded: the organization generates revenue through corporate sponsorships, accessed via a dedicated sponsorship contact, while providing all programs, events, and resources free of charge to its members. It does not have a pricing model, equity funding, or paying customer base. Its go-to-market is community-led and event-driven, reaching members through organic social channels (LinkedIn, Facebook, Instagram, X, Bluesky), the Slack community, the mailing list, and organized events and workshops.
Women in Machine Learning firmographics
Firmographics- Name
- Women in Machine Learning
- Legal name
- Women in Machine Learning
- Website
- https://wimlworkshop.org
- Company type
- Private
- Operating status
- Operating
- Short description
- Women in Machine Learning (WiML) is a US non-profit that supports women and gender minorities in machine learning through a yearlong mentorship program, a professional directory, profile spotlights, co-located workshops, a Slack community, and a mailing list, funded by corporate sponsorships.
- Ownership category
- akta.pro rank
Women in Machine Learning industry classification
Industry- Product category
- Professional Community Services
- NAICS
- Professional Organizations (81392)
- SIC
- Services-Membership Organizations (8600), Services-Educational Services (8200)
- akta.pro primary industry
- Peer Feedback, Discussion Forums & Social Learning Communities (EDAFAGAH)
- akta.pro secondary industry
- Knowledge Management & Wikis (BPAMAMAH)
Keywords
Women in Machine Learning business model
Business model- GTM type
- B2C
- Offering type
- Services
- Cost components
- Personnel, Operations, Marketing or Sales, Technology or R&D, Others
Revenue model
- Sponsorships: WiML generates revenue through corporate sponsorships. The organization has a dedicated sponsorship email ([email protected]) for companies interested in supporting the organization.
Go-to-market motion2 records
Distribution channels1 record
Marketing channels8 records
Women in Machine Learning product offering
Product offeringCore offering
Women in Machine Learning (WiML) is a non-profit community organization that provides free programs and services to support women and gender minorities in machine learning. Its core offerings are a yearlong Mentorship Program, a searchable online Directory of women and gender minorities in ML, published Profiles highlighting research and technical accomplishments, organized Workshops (often co-located with major ML conferences), a Community Slack workspace, and a mailing list for announcements. Outreach and engagement are delivered through a website, Slack, mailing list, and social media channels.
Product overview
Women in Machine Learning (WiML) operates as a community organization rather than a unified software product. The organization offers a portfolio of programs and services including the Mentorship Program (yearlong mentorship for women in ML), a Directory service (searchable directory of women/gender minorities in ML), Profiles (spotlight content on women's achievements), WiML Workshops (events co-located with major ML conferences), WiML Community Slack (networking platform), and a Mailing List (Google Groups-based announcement channel). These services work together to increase awareness of women's achievements in ML, build technical confidence, and create networking opportunities for women and gender minorities in the field.
Differentiator
Problem solved
Functional benefit
Products and services
- Mentorship Program Yearlong structured mentorship program for women and gender minorities working in machine learning, designed to help participants give and receive advice, gain technical knowledge, and make professional connections.
- Directory Searchable online directory of women and gender minorities working in machine learning. Members can create accounts and add their profiles to increase visibility within the ML community.
- Profiles Editorial content program that publishes profiles highlighting the research and technical accomplishments of women working in machine learning, distributed via the WiML website and Facebook.
- WiML Workshops Organized workshops and events that support women in the field of machine learning, including co-located events at major ML conferences, providing networking, learning, and visibility opportunities.
- WiML Community Slack Community Slack workspace for WiML members to network, share job postings and opportunities, request community help, and connect with other women in machine learning.
- WiML Mailing List Google Groups-based mailing list used for official WiML announcements, Calls for Papers (CFPs), and organizational updates for the Women in Machine Learning community.
Companies that use Women in Machine Learning
Customer profileSegments2 records
Ideal customer profiles3 records
Women in Machine Learning technology and API
TechnologyTechnology focussed No
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Women in Machine Learning partnerships and signals
Strategic signalScale indicators1 record
Recent moves5 records
Expansion highlights4 records
Women in Machine Learning competitors and assessment
Company assessmentDirect peers
- Women in AI: Global nonprofit community advocating for women in artificial intelligence. Directly comparable to WiML in mission, programming (events, mentorship, networking), and target audience of women in AI/ML.
- Black in AI: Nonprofit community of Black researchers and practitioners in AI/ML that organizes workshops co-located with major ML conferences and supports mentorship. Closely mirrors WiML's demographic-affinity, workshop-driven model.
- Queer in AI: Affinity-based AI community supporting LGBTQ+ researchers, with co-located workshops at major ML conferences and a mentorship and visibility mission. Directly comparable community/affinity structure to WiML.
- LatinX in AI: Nonprofit community supporting Latinx researchers in AI/ML through workshops co-located with NeurIPS and similar conferences. Highly analogous operating model to WiML.
- AI4ALL: Nonprofit working to increase diversity and inclusion in AI through education and mentorship programs targeting underrepresented groups. Highly comparable to WiML on mission, audience, and program types.
Broad incumbents
- Women in Tech: Larger, broader women-in-technology organization spanning multiple subfields beyond ML. Overlaps with WiML on mission and target audience but does not specialize in machine learning specifically.
- AnitaB.org (Anita Borg Institute): Established nonprofit focused on women in computing, including programs like Top Companies for Women Technologists. Broader in scope than WiML but competes for the same pool of corporate DEI sponsorships and women-in-tech mindshare.
- Girls Who Code: Large nonprofit focused on closing the gender gap in technology through education and mentorship, primarily K-12 and early career. Comparable in mentorship/visibility mission but operates at much larger scale and broader pipeline than WiML.
- WomenWhoCode: International nonprofit supporting women in technology careers through local networks, mentorship, and technical events. Overlaps with WiML on women-in-tech programming but operates across all of tech rather than specializing in ML.
Others
- DeepLearning.AI: AI education platform founded by Andrew Ng offering courses, newsletters, and community programs. Not a peer in mission but an adjacent ecosystem player whose education and community efforts overlap thematically with WiML's ML audience.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat3 records
Key risks5 records
Key highlights5 records
Customer concentration
Women in Machine Learning social profiles
Digital presenceWomen in Machine Learning financial estimates
Financial estimateRevenue estimate
Valuation estimate
Women in Machine Learning leadership team
Management profileNumber of profiles
Women in Machine Learning funding detail
Funding detailFunding overview
Funding rounds
Investors
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Women in Machine Learning M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Women in Machine Learning
What does Women in Machine Learning do?
Women in Machine Learning (WiML) is a non-profit community organization that provides free programs and services to support women and gender minorities in machine learning. Its core offerings are a yearlong Mentorship Program, a searchable online Directory of women and gender minorities in ML, published Profiles highlighting research and technical accomplishments, organized Workshops (often co-located with major ML conferences), a Community Slack workspace, and a mailing list for announcements. Outreach and engagement are delivered through a website, Slack, mailing list, and social media channels.
Is Women in Machine Learning a public or private company?
Women in Machine Learning is a private company. It is classified as nonprofit foundation owned and is currently operating.
When was Women in Machine Learning founded?
Women in Machine Learning was founded in -1.
How does Women in Machine Learning make money?
One revenue line is on record: sponsorships.
Who are Women in Machine Learning's main competitors?
Direct peers on record are Women in AI, Black in AI, Queer in AI, LatinX in AI and AI4ALL. Broad incumbents are Women in Tech, AnitaB.org (Anita Borg Institute), Girls Who Code and WomenWhoCode. DeepLearning.AI is listed as an others.
Does Women in Machine Learning have an API?
No public API is recorded for Women in Machine Learning.
What industry is Women in Machine Learning in?
Women in Machine Learning's product category is Professional Community Services. Its primary akta.pro industry code is EDAFAGAH, Peer Feedback, Discussion Forums & Social Learning Communities, with a secondary code of BPAMAMAH, Knowledge Management & Wikis. Its NAICS code is 81392 and its SIC code is 8600.