Thanks for considering a sponsorship with ML+X. Partnering with us puts your organization at the center of one of UW–Madison’s largest machine learning and AI communities, connecting you with emerging talent for hiring and internships and showcasing your brand at our events, hackathons, and online channels.
We are delighted to offer two tiers of sponsorship, each accompanied by distinctive benefits and visibility. We invite you to explore the sponsorship tiers outlined below. Note that all sponsorship benefits last for the duration of the academic year (Sept. 1, 2025 – Sept. 1, 2026). Contributions made between April 15th – August 31st will apply to the upcoming academic year.
In-kind contributions: In addition to direct financial support, we also welcome in-kind contributions such as compute credits, hardware, or related resources. For sponsorship purposes, these contributions are recognized at 50% of their cash value. Please note that a minimum of $1,000 in cash support is required to qualify for any sponsorship tier, with in-kind contributions applied on top of that amount.
To sponsor the ML+X community at any of these levels or inquire for more information, please contact us at facilitator@datascience.wisc.edu.
Participant
($2,500)
Logo visibility & shout-out: Your logo is showcased on the ML+X website, the opening slide of every monthly forum (recordings posted to Nexus and YouTube), and member T-shirts, and we thank your organization verbally at the start of each forum.
On-site table: Reserve a table at UW–Madison’s annual Data Science Research Bazaar, attended by 150+ participants from across campus and local industries. Showcase your work, connect with researchers and students, and network with the regional data science community.
Featured Nexus spotlight: Publish a sponsor-authored tutorial, dataset, or tool guide — with support from our workshop developers upon request. We pin it to the ML+X Nexus homepage for 30 days and share it on ML+X Slack and in the Data Science @ UW newsletter.
Applied ML/AI collaboration: All sponsors are invited to propose a challenge, prompt, or dataset to be featured as a project in the annual Machine Learning Marathon, which runs September–December. Projects are highlighted on the ML+X site, promoted during team formation events, and may include optional Q&A sessions with participating teams. This is a unique way to showcase real-world challenges and connect with learners and researchers.
Featured
($5,000+)
Logo visibility & shout-out: Your logo is showcased on the ML+X website, the opening slide of every monthly forum (recordings posted to Nexus and YouTube), and member T-shirts, and we thank your organization verbally at the start of each forum.
On-site table: Reserve a table at UW–Madison’s annual Data Science Research Bazaar, attended by 150+ participants from across campus and local industries. Showcase your work, connect with researchers and students, and network with the regional data science community.
Featured Nexus spotlight: Publish a sponsor-authored tutorial, dataset, or tool guide — with support from our workshop developers upon request. We pin it to the ML+X Nexus homepage for 30 days and share it on ML+X Slack and in the Data Science @ UW newsletter.
Applied ML/AI collaboration: All sponsors are invited to propose a challenge, prompt, or dataset to be featured as a project in the annual Machine Learning Marathon, which runs September–December. Projects are highlighted on the ML+X site, promoted during team formation events, and may include optional Q&A sessions with participating teams. This is a unique way to showcase real-world challenges and connect with learners and researchers.
Email permissions: Permission to post up to 2 messages (per year) to the community’s Google group, with 928 subscribers as of 7/11/2025.
Recruitment event: The community will market and host a recruitment-oriented event for your organization. This event will (optionally) be recorded and posted to Nexus and YouTube.
Co-designed workshop: An ML+X workshop developer will work with your team to create an open-source, hands-on workshop featuring one of your tools (similar in scope to our AWS SageMaker workshop). This workshop will be promoted through the global Carpentries network (400+ institutions in 40+ countries), providing long-term visibility and reuse by instructors and researchers worldwide.
Workshop discount: All company employees receive 50% off data science and machine learning workshops offered by our local Carpentries chapter. Full ticket price ranges from $100-$300, and cover topics such as Trustworthy & Explainable AI, AWS SageMaker, Reproducible ML, Natural Language Processing, Deep Learning, and more.
Thank You ML+X Sponsors
ML+X is grateful to our sponsors for providing us monetary support in achieving our goals helping ML practitioners explore the challenges and pitfalls of ML, sharing knowledge and resources, and supporting each others’ work.
Learn more about our sponsors by clicking the logos below!
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