Insights

Educational Resource Growth ML@IIT demonstrates a focus on community building within higher education, providing educational and computational resources to students. Opportunities exist to offer tailored training programs, workshops, or software solutions that support their mission of fostering a thriving machine learning community.

Recent Tech Innovations The company is engaged with advanced technologies such as Python, C#, and iOS, and is involved in projects like algorithm controls and new filters. This indicates a readiness to adopt or integrate cutting-edge AI and machine learning solutions, making it a potential partner for customized AI tools or cloud computing services.

Funding and Revenue Snapshot With a revenue range of zero to one million dollars and limited funding information, ML@IIT appears to be in a growth or early-stage phase, presenting opportunities for investment, sponsorship, or grants to accelerate their projects and expand their community engagement efforts.

Industry Collaborations Their active collaboration with industry through research and problem-solving initiatives offers a pathway to develop joint projects, sponsored research, or internship programs with corporate partners interested in emerging machine learning talent and solutions.

Market Connectivity Being part of a network of prestigious universities with large student bodies and significant revenue profiles indicates potential for engaging a broad academic audience. Positioning services or products for academic research, student engagement, or educational tools could unlock wide market access within this sector.

ML@IIT Tech Stack

ML@IIT uses 8 technology products and services including Unity3D, Adobe Illustrator, Open Graph, and more. Explore ML@IIT's tech stack below.

  • Unity3D
    Audio, Video, Graphics
  • Adobe Illustrator
    Cad & Graphics
  • Open Graph
    Content Management System
  • Webpack
    Development
  • Open Compute Project
    IT Infrastructure
  • Microsoft Office
    Office Suites
  • JavaScript
    Programming Languages
  • three.js
    Programming Languages

Media & News

ML@IIT's Email Address Formats

ML@IIT uses at least 2 format(s):
ML@IIT Email FormatsExamplePercentage
FLast@ltcillinois.orgJDoe@ltcillinois.org
100%
FirstLast@instagram.comJohnDoe@instagram.com
75%
FLast@instagram.comJDoe@instagram.com
15%
First@instagram.comJohn@instagram.com
5%
First.Last@instagram.comJohn.Doe@instagram.com
5%

Frequently Asked Questions

Where is ML@IIT's headquarters located?

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ML@IIT's main headquarters is located at 10 West 32nd Street Chicago, Illinois 60616 United States. The company has employees across 1 continents, including North America.

What is ML@IIT's official website and social media links?

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ML@IIT's official website is instagram.com and has social profiles on LinkedIn.

What is ML@IIT's NAICS code?

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ML@IIT's NAICS code is 6113 - Colleges, Universities, and Professional Schools.

How many employees does ML@IIT have currently?

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As of May 2026, ML@IIT has approximately 3 employees across 1 continents, including North America. Key team members include Administrative Assistant: C. G.. Explore ML@IIT's employee directory with LeadIQ.

What industry does ML@IIT belong to?

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ML@IIT operates in the Higher Education industry.

What technology does ML@IIT use?

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ML@IIT's tech stack includes Unity3DAdobe IllustratorOpen GraphWebpackOpen Compute ProjectMicrosoft OfficeJavaScriptthree.js.

What is ML@IIT's email format?

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ML@IIT's email format typically follows the pattern of FLast@ltcillinois.org. Find more ML@IIT email formats with LeadIQ.

ML@IIT

Higher EducationIllinois, United States2-10 Employees

Machine Learning at Illinois Institute of Technology (ML@IIT) is a student-run organization dedicated to fostering a vibrant machine learning community on the Illinois Tech campus by providing educational and computational resources to undergraduate and graduate students.

We empower passionate students of all backgrounds and skill levels to solve real world data-driven problems in both academic research and industry settings through collaboration with companies and internal research. 

By growing a strong machine learning community at Illinois Institute of Technology, we hope to benefit, educate, and inspire the students at the university as well as aiding the machine learning community at large.

Section iconCompany Overview

Headquarters
10 West 32nd Street Chicago, Illinois 60616 United States
NAICS Code
6113 - Colleges, Universities, and Professional Schools
Employees
2-10

Section iconFunding & Financials

  • $1M

    ML@IIT's revenue is estimated to be in the range of $1M

Section iconFunding & Financials

  • $1M

    ML@IIT's revenue is estimated to be in the range of $1M

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