Carnegie Mellon University Department of Machine Learning

Higher Education and Academic Researchml.cmu.edu

The Machine Learning Department at Carnegie Mellon University, founded in 2006 as the world's first academic ML department, offers Ph.D., Master's, and undergraduate AI programs and conducts foundational research through industry partnerships with Meta, Google, Amazon, BNY, and Fujitsu.

Company typePrivate
Founded2006
HeadquartersPittsburgh, United States
Headcount101–250
GTM typeB2C
OfferingServices

What Carnegie Mellon University Department of Machine Learning does

The Machine Learning Department at Carnegie Mellon University is an academic department within CMU's School of Computer Science, founded in spring 2006 as the world's first machine learning academic department and evolved from the Center for Automated Learning and Discovery (CALD) created in 1997. The department offers Ph.D. programs (primary ML plus three joint programs in Statistics & ML, ML & Public Policy, and Neural Computation & ML), Master's programs (16-month professional, 20-month advanced study with thesis, 5th-year accelerated, and secondary), and undergraduate programs including a BS in AI, an ML minor, and an ML concentration, all delivered full-time on the Pittsburgh campus. Its research portfolio spans theoretical ML, neural architecture search, federated learning, responsible/fair AI, and applied AI in biology, health, and education. Flagship technical platforms include the COVIDcast pandemic tracking repository (handling hundreds of thousands of daily requests) and the BNY-CMU AI Lab for trustworthy agentic AI. The department's GTM is fundamentally an academic model: student recruitment through admissions, curriculum development, and research output, supplemented by industry partnerships with Meta, Google, Amazon/AWS, BNY, Fujitsu, JPMorgan Chase, and government agencies (NSF, NIH, CDC, DARPA). Revenue is non-commercial and comes from tuition, federal research grants, and corporate sponsorship/donations rather than product sales, with the entity operating as a nonprofit cost center rather than a revenue-generating business.

Carnegie Mellon University Department of Machine Learning firmographics

Firmographics

Name: Carnegie Mellon University Department of Machine Learning
Legal name: Carnegie Mellon University
Website: https://ml.cmu.edu
Company type: Private
Founded year: 2006
Operating status: Operating
Headcount range: 101–250 employees
Short description: The Machine Learning Department at Carnegie Mellon University, founded in 2006 as the world's first academic ML department, offers Ph.D., Master's, and undergraduate AI programs and conducts foundational research through industry partnerships with Meta, Google, Amazon, BNY, and Fujitsu.
Ownership category
akta.pro rank

Carnegie Mellon University Department of Machine Learning industry classification

Industry

Product category: Higher Education and Academic Research
NAICS: Colleges, Universities, and Professional Schools (6113)
SIC: Services-Educational Services (8200)
akta.pro primary industry: STEM-Focused Research Universities (Engineering & Applied Sciences) (EDAHABAB)
akta.pro secondary industry: AI/ML Learning Platforms for Students (EDAFANAE)

Keywords

Machine learning research
Artificial intelligence education
Graduate degree programs
Epidemic forecasting
Responsible AI development

Where Carnegie Mellon University Department of Machine Learning is headquartered

Location

Headquarters

HQ city: Pittsburgh
HQ country: United States
HQ region: North America

Offices3 records

Markets served

Carnegie Mellon University Department of Machine Learning business model

Business model

GTM type: B2C
Offering type: Services
Cost components: Personnel, Technology or R&D, Operations, Infrastructure

Revenue model

Tuition and Academic Fees: Revenue generated from undergraduate, master's, and Ph.D. programs through tuition and fees charged to students.
Research Grants and Sponsored Funding: Funding from government agencies (NSF, CDC, NIH), industry partners (Meta, Google, Amazon, BNY), and foundations supporting faculty research, Ph.D. students, and postdoctoral researchers.
Corporate Partnerships and Donations: Gifts and donations from corporate partners (e.g., Google.org $1M donation for COVIDcast, Fujitsu joint center, BNY-AI Lab research funding) used for research support and student/faculty initiatives.

Pricing tiers

Model	Billing	Price
Subscription	Annual	Ph.D. in Machine Learning - Full-time research doctorate

Go-to-market motion2 records

Distribution channels1 record

Marketing channels6 records

Carnegie Mellon University Department of Machine Learning product offering

Product offering

Core offering

The Machine Learning Department at Carnegie Mellon University is an academic department offering graduate and undergraduate degree programs (Ph.D., Master's, B.S. in AI, ML Minor) and conducting breakthrough research in machine learning, AI, and their applications. It operates research platforms including COVIDcast for pandemic tracking and the BNY-CMU AI Lab for trustworthy agentic AI, serving students globally and partnering with leading technology companies and government agencies.

Product overview

The Machine Learning Department at Carnegie Mellon University is an academic department (not a commercial product company) offering a comprehensive portfolio of educational programs including Ph.D. programs (primary Machine Learning Ph.D. and three joint Ph.D. programs in Statistics & ML, Public Policy & ML, and Neural Computation & ML), Master's programs (Primary M.S., Advanced Study M.S., and 5th-Year Accelerated M.S.), and undergraduate programs (B.S. in AI, Machine Learning Minor). The department also operates research platforms including the COVIDcast pandemic tracking system and the BNY-CMU AI Lab focused on trustworthy AI. Student support services include the MLD Wellness Network, and the department maintains a research blog (ML@CMU Blog).

Differentiator

Problem solved

Functional benefit

Products and services

Ph.D. in Machine Learning
Joint Ph.D. Programs in Machine Learning
Primary Master's in Machine Learning
M.S. in Machine Learning - Advanced Study
5th-Year Master's in Machine Learning
Bachelor of Science in Artificial Intelligence
Machine Learning Minor
COVIDcast Epidemic Tracking Platform
BNY-CMU AI Lab
Fujitsu-CMU Joint Center for Physical AI

Quantifiable outcome

COVIDcast handled hundreds of thousands of daily requests from thousands of users, supporting pandemic decision-making
+3 more outcomes

Companies that use Carnegie Mellon University Department of Machine Learning

Customer profile

Named customers10 records

Segments5 records

Ideal customer profiles5 records

Carnegie Mellon University Department of Machine Learning technology and API

Technology

Technology focussed Yes

API detail

Has API: No
API docs
API detail

Core technology

AI maturity

App detail

AI capability7 records

Feature5 records

Carnegie Mellon University Department of Machine Learning partnerships and signals

Strategic signal

Partnerships

14 partnerships are on record, tiered core and minor.

Meta (Facebook)coreStrategic or Co-development Partner · 16 June 2026Partnership with Meta to develop AI tools for emergency response. Meta also partners with the Delphi Research Group through the Data for Good program, providing the platform for COVID-19 Symptom Surveys reaching millions of users. Facebook distributes surveys to a portion of its users daily, and CMU conducts surveys off Facebook and manages all findings.
Change HealthcarecoreStrategic or Co-development PartnerChange Healthcare shared de-identified medical insurance claims data with CMU's Delphi Research Group for the COVIDcast platform, helping researchers understand the current state of the pandemic and continue mapping real-time indicators of the virus.
Amazon Web Services (AWS)coreStrategic or Co-development PartnerAWS provided COVIDcast cloud computing support, enabling the platform to handle hundreds of thousands of daily requests. Amazon also funds multiple faculty research awards, graduate fellowships, and the Amazon Research Awards program supporting CMU researchers.
Quidel CorporationcoreStrategic or Co-development PartnerQuidel Corp shared de-identified antigen test data with the Delphi Research Group for COVIDcast pandemic tracking, providing unique testing data not available through typical public health reporting channels.
OptumcoreStrategic or Co-development PartnerOptum shared de-identified medical insurance claims data with CMU's Delphi Research Group for the COVIDcast platform, contributing to the unique real-time geographically detailed data streams.
FujitsucoreStrategic or Co-development PartnerFujitsu and CMU launched a Joint Center for Physical AI in April 2026, advancing research in physical AI systems.
U.S. Centers for Disease Control and Prevention (CDC)coreStrategic or Co-development PartnerThe Delphi Research Group has worked with the CDC since 2012. Delphi researchers use COVIDcast data to perform forecasts of COVID-19 activity at state and county levels, which are reported to the CDC. The group received CDC funding for the Flu Forecasting Center in October 2019.
JPMorgan Chase & Co.coreStrategic or Co-development PartnerJPMorgan Chase & Co. opened the AI Maker Space at CMU, an AI exploration facility for students. The bank also provides faculty research awards and the company has a long-standing relationship with CMU through Manuela Veloso who leads JP Morgan Chase AI Research.
University of MarylandcoreStrategic or Co-development PartnerThe University of Maryland works with Facebook to gather international COVID-19 symptom survey data, which is visualized alongside CMU's data through the Data for Good map and dashboard. The two institutions collaborate on the international version of Delphi's COVID-19 Trends and Impact Survey.
Determined AIminorStrategic or Co-development PartnerCo-founded by Ameet Talwalkar (MLD faculty), Determined AI was acquired by Hewlett Packard in 2021. The company developed an open-source deep learning training platform. Talwalkar serves as Chief Scientist.
PetuumminorStrategic or Co-development PartnerPetuum, a machine learning technology company co-founded by Eric Xing, sponsored the Machine Learning Lunch Seminar Series at CMU. Petuum uses ML technology developed at CMU for enterprise AI solutions.
Sleep CycleminorStrategic or Co-development PartnerCarnegie Mellon partnered with Sleep Cycle to explore sleep data for detecting disease outbreaks, leveraging Delphi Research Group expertise in epidemiological forecasting.
Marinus AnalyticsminorStrategic or Co-development PartnerMarinus Analytics, a spinoff of CMU's Robotics Institute, uses AI, machine learning, predictive modeling, and geospatial analysis to combat sex trafficking. They collaborated with CMU researchers on the InfoShield algorithm project.
McGill UniversityminorStrategic or Co-development PartnerResearchers at CMU and McGill University collaborated on the InfoShield algorithm project to identify human traffickers through analysis of escort ad similarities.

Scale indicators7 records

Recent moves9 records

Expansion highlights6 records

Carnegie Mellon University Department of Machine Learning competitors and assessment

Company assessment

Market position

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

Carnegie Mellon University Department of Machine Learning financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Carnegie Mellon University Department of Machine Learning leadership team

Management profile

Number of profiles

Profiles8 records

Carnegie Mellon University Department of Machine Learning funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Carnegie Mellon University Department of Machine Learning M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Carnegie Mellon University Department of Machine Learning

What does Carnegie Mellon University Department of Machine Learning do?

Is Carnegie Mellon University Department of Machine Learning a public or private company?

Carnegie Mellon University Department of Machine Learning is a private company. It is classified as nonprofit foundation owned and is currently operating.

When was Carnegie Mellon University Department of Machine Learning founded?

Carnegie Mellon University Department of Machine Learning was founded in 2006. It employs 101 to 250 people.

Where is Carnegie Mellon University Department of Machine Learning based?

Carnegie Mellon University Department of Machine Learning is headquartered in Pittsburgh, United States, in the North America region.

How does Carnegie Mellon University Department of Machine Learning make money?

Three revenue lines are on record. Tuition and Academic Fees are the primary driver. The others are research Grants and Sponsored Funding and corporate Partnerships and Donations.

Does Carnegie Mellon University Department of Machine Learning have an API?

No public API is recorded for Carnegie Mellon University Department of Machine Learning.

What industry is Carnegie Mellon University Department of Machine Learning in?

Carnegie Mellon University Department of Machine Learning's product category is Higher Education and Academic Research. Its primary akta.pro industry code is EDAHABAB, STEM-Focused Research Universities (Engineering & Applied Sciences), with a secondary code of EDAFANAE, AI/ML Learning Platforms for Students. Its NAICS code is 6113 and its SIC code is 8200.