EEML

What EEML does

EEML (Eastern European Machine Learning) is a non-profit educational initiative founded in 2018 (originally as the Transylvanian Machine Learning Summer School, rebranded to EEML in 2019) that runs an annual one-week intensive summer school on machine learning and artificial intelligence, rotating its venue across Eastern European cities including Cluj-Napoca, Bucharest, Krakow, Budapest, Vilnius, Košice, Novi Sad, Sarajevo, and forthcoming Cetinje. The school serves primarily graduate students from Eastern Europe but is open to participants 18+ globally, combining lectures from world-class ML/AI researchers (Google DeepMind, MIT, Oxford, Cambridge, NYU, McGill, EPFL, Carnegie Mellon, Mila) with hands-on practical sessions delivered via Google Colab, GitHub-hosted lab materials, and recorded lectures published on YouTube. Supporting offerings include 1:1 mentorship, poster sessions, fireside chats with senior researchers, industry keynotes, travel grants, certificates, and a complementary EEML Workshop Series of 2–3 smaller events per year.

EEML is organized by a small core team of academic researchers — most prominently Doina Precup (McGill/Google DeepMind), Razvan Pascanu, Viorica Patraucean, and Matko Bošnjak (all Google DeepMind) — alongside an advisory board, teaching assistants, local organizers, and volunteers. Revenue is not publicly disclosed and is sourced from three streams: tiered registration fees (€100 student / €150 postdoc-faculty / €300 industry, with EEML2020 free in virtual format), multi-tier corporate sponsorships (Diamond, Platinum, Gold, Silver), and individual/organizational donations supporting travel grants. Recurring Diamond sponsors include Google DeepMind and UiPath; Platinum sponsors have included Bitdefender, Jane Street, SmartCat, HTEC, PolyAI, and IVI. EEML operates without a formal legal entity, is volunteer-run, and uses no proprietary technology, relying instead on Google Colab, GitHub, YouTube, Rocket.Chat, and Sli.do for content delivery and engagement.

Name

EEML

Legal name

EEML (Eastern European Machine Learning)

Website

https://eeml.eu

Company type

Private

Founded year

2018

Operating status

Operating

Headcount range

1–10 employees

Short description

EEML is a volunteer-run, non-profit annual machine learning summer school rotating across Eastern European cities since 2018, serving graduate students and industry practitioners with lectures from world-class researchers and sponsorships from Google DeepMind, UiPath, and other ML companies.

Ownership category

akta.pro rank

Product category

Machine Learning Education

NAICS

All Other Schools and Instruction (61169), Business Schools and Computer and Management Training (6114)

SIC

Services-Educational Services (8200)

akta.pro industry

PRIMARYEDAFACAB

Subject-Specific Courseware (Math, Science, ELA, Social Studies, etc.)

Education/Education Technology (EdTech) & Digital Learning/Digital Curriculum, Courseware & Interactive Learning Content

SECONDARYEDANAGAL

Integrated Tutoring + Learning Content Platforms (Curriculum + Tutors)

Education/Tutoring & Test Preparation/Online/Virtual Tutoring Platforms & Marketplaces

Keywords

• Machine learning education
• Summer school program
• Deep learning training
• AI research workshops
• Academic ML conferences

Headquarters

HQ city

Cetinje

HQ country

Montenegro

HQ region

Europe

Offices9 records

Markets served

GTM type

B2C

Offering type

Services

Cost components

Personnel, Operations, Marketing or Sales, Technology or R&D, Others

Revenue model

1. Registration Fees: Registration fees from participants: Students 100 EUR, Postdoc/Faculty 150 EUR, Industry 300 EUR. EEML2020 was free due to virtual format.
2. Corporate Sponsorships: Corporate sponsors at Diamond, Platinum, Gold, and Silver levels provide financial support in exchange for branding, recruiting access, and visibility among participants.
3. Donations: Individual donors and organizational donors contribute to fund travel grants and keep registration fees accessible.

Pricing tiers

Go-to-market motion2 records

Distribution channels2 records

Marketing channels7 records

Core offering

EEML organizes an annual one-week intensive summer school on machine learning and AI, combining lectures from world-class researchers with hands-on practical lab sessions using Google Colab. The program targets graduate students primarily from Eastern Europe but is open to global participants aged 18+, and covers topics including deep learning, reinforcement learning, computer vision, NLP, and unsupervised learning. The organization also operates a smaller workshop series across Eastern Europe and provides publicly available open educational resources on GitHub and YouTube.

Product overview

EEML (Eastern European Machine Learning) is an educational initiative organizing annual one-week intensive summer schools on machine learning and AI. The core offering is the EEML Summer School Program featuring lectures and practical lab sessions. The portfolio includes sub-products such as mentorship programs, poster presentation sessions, fireside chat sessions with renowned researchers, industry keynotes, travel grants, and the EEML Workshop Series. Educational resources including lecture recordings and lab materials are made publicly available via GitHub and YouTube. The school covers topics including deep learning, reinforcement learning, computer vision, natural language processing, graph neural networks, and unsupervised learning. The initiative aims to popularize ML/AI in Eastern Europe and foster research collaboration, maintaining partnerships with regional AI associations in Montenegro, Albania, and Romania.

Differentiator

Problem solved

Functional benefit

Products and services

• EEML Summer School Program Annual one-week intensive summer school covering core topics in machine learning and artificial intelligence, combining lectures and hands-on practical sessions (labs) to enhance participants' theoretical and practical understanding. The school is organized in English and targets primarily graduate students, though open to anyone interested.
• EEML Workshop Series Smaller events (2-3 per year) spread across Eastern Europe dedicated to popularizing ML/AI topics, attracting students, and helping people understand AI's potential and limitations.
• Travel Grants and Scholarships Need-based financial assistance covering registration fees, accommodation, and travel costs. Available to anyone regardless of student status, awarded based on financial considerations rather than merit.
• Corporate Sponsorship Program Sponsorship packages at Diamond, Platinum, Gold, and Silver levels providing financial support to EEML in exchange for branding, recruiting access, and visibility among participants. Diamond sponsors include Google DeepMind and UiPath.

Quantifiable outcome

• 210 participants from 42 countries in EEML2019; 54% from Eastern Europe; 32.3% female participants
• +2 more outcomes

Named customers3 records

Segments4 records

Ideal customer profiles4 records

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration5 records

Partnerships

15 partnerships are on record, tiered core, minor and flagship.

• Montenegrin AI AssociationcoreStrategic or Co-development Partner · 1 January 2026Local partner for EEML2026 in Cetinje, Montenegro. Represents the local AI community and provides organizational support.
• IVI (Institute for Visualization and Interaction)coreStrategic or Co-development Partner · 1 January 2025Local partner for EEML2024 in Novi Sad, Serbia. Hosted the event and provided local organizational support.
• ANNT (Association for the Advancement of Science and Technology)coreStrategic or Co-development Partner · 1 January 2025Local partner for EEML2025 in Sarajevo, Bosnia and Herzegovina.
• AI AlbaniaminorStrategic or Co-development Partner · 1 January 2025Regional partner supporting the Eastern European AI community outreach and collaboration.
• Wigner Research Center for Physics BudapestcoreStrategic or Co-development Partner · 1 January 2021Local partner for EEML2021 virtual edition, providing academic institutional support.
• GMUM (Gdańsk Machine Learning Group)coreStrategic or Co-development Partner · 1 January 2020Local partner for EEML2020 virtual edition, co-organizing with MLinPL association.
• MLinPLcoreStrategic or Co-development Partner · 1 January 2020Polish ML community association that co-organized EEML2020 virtual edition.
• BitdefendercoreStrategic or Co-development Partner · 1 January 2019Platinum sponsor. Romanian cybersecurity company with strong ML research team. Has provided local organizers and research support for multiple editions.
• Jane StreetcoreStrategic or Co-development Partner · 1 January 2019Platinum sponsor. Quantitative trading firm with strong interest in ML and programming talent.
• University of Donja GoricacoreStrategic or Co-development Partner · 1 January 2019Local partner for EEML2026. Provided venue and academic institutional support.
• Romanian Association for Artificial Intelligence (ARIA)coreStrategic or Co-development Partner · 1 January 2019Ongoing partner since EEML2019. Founded in 2011 to connect Romanian ML research groups and with European scene.
• Google DeepMindflagshipStrategic or Co-development Partner · 1 January 2018Diamond-level sponsor and key supporter since inception. Provides speakers (research scientists), organizational guidance, and funding. Core partner in enabling the school's reputation and reach.
• UiPathcoreStrategic or Co-development Partner · 1 January 2018Diamond-level sponsor providing funding and presence at the summer school. Reinforces connection between academic ML community and industry automation sector.
• Politehnica University of BucharestcoreStrategic or Co-development Partner · 1 January 2018Host institution for EEML2019, providing venue, facilities, and local organizational support.
• Romanian Institute of Science and Technology (RIST)coreStrategic or Co-development Partner · 1 January 2018Original co-organizer for TMLSS2018 (first edition). Provided institutional backing and organizational leadership.

Scale indicators5 records

Recent moves2 records

Expansion highlights5 records

Direct peers

• Machine Learning Summer School (MLSS): Long-running international series of one-to-two-week ML summer schools held at various host institutions. Closest direct peer to EEML in format, duration, and lecture-based delivery to graduate students, with a similar applicant-selective admissions model.
• CIFAR/Mila Deep Learning Summer School: Pioneer ML summer school (originally CIFAR, now Mila) that established the template EEML follows: week-long intensive lectures from frontier researchers, practical sessions, and a competitive application process for graduate students globally.
• Vector Institute Deep Learning and Reinforcement Learning Summer School: Toronto-based intensive DL/RL summer school closely overlapping EEML's curriculum focus (deep learning and reinforcement learning), featuring world-class faculty and competitive admissions for graduate students.

Others

• fast.ai: Provider of free, high-quality deep learning courses and open educational resources. Comparable to EEML in subject matter (deep learning curriculum) and open-content ethos, but delivered as asynchronous online courses rather than an intensive in-person event.

Broad incumbents

• Coursera: Large-scale online learning platform offering ML and AI courses from universities and companies. Overlaps with EEML in subject domain but operates a fundamentally different (mass-market, asynchronous, MOOC) delivery model.

Emerging players

• AI4ALL: Non-profit focused on increasing diversity and inclusion in AI through education programs. Comparable to EEML in diversity-and-access mission (32.3% female participation, travel grants, regional focus) though different in delivery format.
• Deep Learning Indaba (and IndabaX): Pan-African ML community with annual gatherings and a network of regional IndabaX events. Comparable to EEML in mission (strengthening ML capacity in an underrepresented region), community-led format, and emphasis on local organizer partnerships.
• LatinX in AI: Community organization running research gatherings, mentorship, and workshops for Latin American ML researchers. Shares EEML's mission to broaden access to frontier ML education for an underrepresented geography and to combat talent drain.
• African Master's in Machine Intelligence (AMMASI): Pan-African intensive master's-style program in machine intelligence with similar mission to EEML: training top regional graduate students with world-class faculty. Comparable in applicant selectivity and mission-driven ethos.

Regional players

• European Summer School on AI (ESSAI): European AI summer school targeted at graduate students across Europe. Comparable format (one-week intensive lectures and labs with competitive admissions) and regional focus, but with broader European rather than Eastern European emphasis.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat3 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/EEMLcommunity
• GitHubgithub.com/eemlcommunity
• LinkedInlinkedin.com/company/ee-ml

Revenue estimate

Valuation estimate

Number of profiles

Profiles4 records

Funding overview

Funding rounds

Investors

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

M&A

Investments

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

Frequently asked questions about EEML