GMUM - Group of Machine Learning Research
GMUM is a non-profit machine learning research group at Jagiellonian University in Kraków, Poland, led by Prof. Jacek Tabor, producing peer-reviewed research, open benchmarks, and datasets at top ML venues while training PhD students and post-docs.
- Company typePrivate
- Founded-
- HeadquartersCracow, Poland
- Headcount11–50
- GTM typeB2B
- OfferingServices
GMUM - Group of Machine Learning Research firmographics
Firmographics- Name
- GMUM - Group of Machine Learning Research
- Legal name
- Group of Machine Learning Research
- Website
- https://gmum.net
- Company type
- Private
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- GMUM is a non-profit machine learning research group at Jagiellonian University in Kraków, Poland, led by Prof. Jacek Tabor, producing peer-reviewed research, open benchmarks, and datasets at top ML venues while training PhD students and post-docs.
- Ownership category
- akta.pro rank
Where GMUM - Group of Machine Learning Research is headquartered
LocationHeadquarters
- HQ city
- Cracow
- HQ country
- Poland
- HQ region
- Europe
Offices1 record
Markets served
GMUM - Group of Machine Learning Research business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Infrastructure, Operations, Marketing or Sales
Revenue model
- Academic Research Grants: GMUM operates as a university research group funded through national and international grant programs including the National Science Center (Poland), Horizon Europe/Marie Skłodowska-Curie programs, FNP START fellowships, and the Foundation for Polish Science First Team program.
- ELIAS European Lighthouse of AI for Sustainability: Horizon Europe Programme (HORIZONCL4-2022-HUMAN-02) project GA no. 101120237 funding research on AI for sustainability.
- Interpretable and Interactive Multimodal Retrieval in Drug Discovery (FENG): Foundation for Polish Science co-financed by European Funds for Smart Economy 2021-2027 (FENG.02.02-IP.05-0040/23), First Team programme.
- National Science Center OPUS Grant: OPUS grant funding for Interpretable and Sustainable Artificial Intelligence with Intuitive Explanations research.
- Marie Skłodowska-Curie Doctoral Network: European Union's Horizon 2020 research programme under Marie Skłodowska-Curie grant agreement for Bayesian Neural Networks research.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | Annual | Post-Doc / Assistant Professor compensation package |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels6 records
GMUM - Group of Machine Learning Research product offering
Product offeringCore offering
GMUM is an academic machine learning and deep learning research group at Jagiellonian University in Kraków, Poland. The group conducts fundamental and applied ML research across generative models, theoretical deep learning, NLP, drug design, computer vision, and medical image analysis, and distributes its outputs as open-source benchmarks (FlySearch), research methods (Counterfactual Masking), datasets (CancerVerse, Merlin Plus), and educational programs (AI Scientific Club, PhD recruitment, TFML conference).
Product overview
GMUM is an academic research group at Jagiellonian University, not a product company. Their work consists of research projects, benchmarks, datasets, and educational programs. The main research artifacts include FlySearch (a VLM benchmarking tool), Counterfactual Masking (molecular explainability method), and various Gaussian splatting projects (VeGaS, GS-Verse, MiraGe). The group also produces medical imaging datasets (CancerVerse, Merlin Plus), organizes the TFML academic conference, and runs an AI Scientific Club for high-school students. There is no unified commercial product—offerings are individual research outputs, open-source benchmarks, and educational initiatives.
Differentiator
Problem solved
Functional benefit
Products and services
- FlySearch Benchmark A benchmark for evaluating vision-language models (VLMs) in simulated 3D outdoor photorealistic environments, testing VLM exploration skills through embodied AI tasks where models control drones to locate objects specified in natural language.
- Counterfactual Masking A molecular masking method for chemical explainability that replaces molecule parts with chemically plausible alternatives (via DiffLinker or CReM) instead of naive zeroing, providing robust explanations for molecular property predictions in drug discovery.
- CancerVerse Dataset A fully open longitudinal and multimodal dataset for multicancer screening, published at MICCAI 2026.
- Merlin Plus Dataset A large-scale, multi-cancer image-mask-report dataset published in Nature (2026).
- AI Scientific Club An educational program for high-school students covering fundamental machine learning concepts including regression, classifiers, dimensionality reduction, deep learning (MLPs, CNNs, transformers), and mathematical foundations (linear algebra, geometry, probability).
- PhD Recruitment Program PhD opportunities in machine learning research at Jagiellonian University, with research areas including Bayesian Neural Networks, Interpretable Neural Networks, and various ML subfields. Admission occurs via the Jagiellonian University Doctoral School in July and September rounds.
- TFML Conference Theoretical Foundations of Machine Learning conference organized by GMUM at Jagiellonian University, covering theoretical ML aspects including algorithms, deep learning, optimization, and applications. Editions held in 2015, 2017, 2019.
- Machine Learning Summer School Co-organizer of MLSS (Machine Learning Summer School) 2025, an educational event for ML research training and community building.
Quantifiable outcome
- 194+ published achievements tracked on the achievements page
- +3 more outcomes
Companies that use GMUM - Group of Machine Learning Research
Customer profileSegments3 records
Ideal customer profiles3 records
GMUM - Group of Machine Learning Research technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration4 records
AI capability11 records
Feature8 records
GMUM - Group of Machine Learning Research partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered core, supporting and minor.
- IDEAS NCBRcoreIDEAS NCBR is a research institute in Poland with which GMUM offers joint PhD and post-doc positions. The collaboration provides highly competitive positions funded by both organizations, combining GMUM's ML research expertise with IDEAS NCBR's applied research focus.
- Polish High-Performance Computing Infrastructure PLGrid (ACK Cyfronet AGH)supportingPLGrid (HPC Center: ACK Cyfronet AGH) provides computer facilities and support. Computational grants include PLG/2024/017483. Used for FlySearch benchmark computations.
- Jagiellonian UniversitycoreGMUM is organizationally based at the Faculty of Mathematics and Computer Science, Jagiellonian University. The group co-created the Artificial Intelligence study program at the university and participates in the Doctoral School of Exact and Natural Sciences.
- ELLIS (European Laboratory for Learning and Intelligent Systems)supportingSeveral GMUM members including Bartosz Zieliński are ELLIS Members and Łukasz Janisiów is an ELLIS PhD Student. ELLIS is a European AI research network.
- University of Warsaw (UW)minorCollaborator on FlySearch research project alongside GMUM, IDEAS NCBR, and Jagiellonian University.
- NomagicminorCollaborator on FlySearch research project, listed alongside academic partners.
Scale indicators4 records
Recent moves6 records
Expansion highlights5 records
GMUM - Group of Machine Learning Research competitors and assessment
Company assessmentBroad incumbents
- MILA (Quebec AI Institute): Large academic AI research institute publishing at top venues (NeurIPS, ICML, ICLR). Comparable research agenda in deep learning theory and applications, but materially larger scale and broader funding base.
- DeepMind: Industrial AI research lab publishing at the same top venues (ICML, NeurIPS, ICLR, Nature). Overlaps with GMUM on generative models, theory of DL, and drug design, but at vastly larger scale with commercial product line.
- ETH AI Center: University-based AI research hub at ETH Zurich publishing broadly across ML/CV/NLP. Comparable academic ML research profile with stronger industry ties and larger faculty base.
- Max Planck Institute for Intelligent Systems: Academic research institute with strong ML/CV/robotics publication record. Comparable fundamental and applied ML research, but with substantially larger headcount and budget.
- FAIR (Meta AI Research): Industrial AI research lab with strong publication presence at top ML venues including work on Gaussian Splatting-adjacent 3D reconstruction and embodied AI overlapping GMUM's research directions.
Emerging players
- Schrödinger, Inc. Computational chemistry/drug discovery company whose cheminformatics and molecular property prediction work overlaps with GMUM's Counterfactual Masking and drug design research direction.
Direct peers
- ELLIS (European Laboratory for Learning and Intelligent Systems): European network of academic AI research units; several GMUM members are ELLIS Members/PhDs. Operates with similar grant-funded, publication-driven academic model across dozens of university nodes.
- University of Warsaw Machine Learning Group (ML^2): Comparable Polish academic ML research group at a peer university; collaboration partner on FlySearch. Similar scale, mission, and grant-driven structure focused on theoretical and applied ML.
- IDEAS NCBR: Polish AI research institute in Warsaw co-running joint PhD/post-doc programs with GMUM. Directly comparable mission, size, and grant-funded academic AI research model in the same country.
Others
- Nomagic: Polish AI/robotics company collaborating with GMUM on FlySearch. Connected via research partnership but commercial in nature (warehouse robotics), not a research peer.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights7 records
Customer concentration
GMUM - Group of Machine Learning Research social profiles
Digital presenceGMUM - Group of Machine Learning Research financial estimates
Financial estimateRevenue estimate
Valuation estimate
GMUM - Group of Machine Learning Research leadership team
Management profileNumber of profiles
Profiles1 record
GMUM - Group of Machine Learning Research funding detail
Funding detailFunding overview
Funding rounds
Investors
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GMUM - Group of Machine Learning Research M&A and investment
M&A and investmentM&A
Investments
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Frequently asked questions about GMUM - Group of Machine Learning Research
What does GMUM - Group of Machine Learning Research do?
GMUM is an academic machine learning and deep learning research group at Jagiellonian University in Kraków, Poland. The group conducts fundamental and applied ML research across generative models, theoretical deep learning, NLP, drug design, computer vision, and medical image analysis, and distributes its outputs as open-source benchmarks (FlySearch), research methods (Counterfactual Masking), datasets (CancerVerse, Merlin Plus), and educational programs (AI Scientific Club, PhD recruitment, TFML conference).
Is GMUM - Group of Machine Learning Research a public or private company?
GMUM - Group of Machine Learning Research is a private company. It is classified as state government owned and is currently operating.
When was GMUM - Group of Machine Learning Research founded?
GMUM - Group of Machine Learning Research was founded in -1. It employs 11 to 50 people.
Where is GMUM - Group of Machine Learning Research based?
GMUM - Group of Machine Learning Research is headquartered in Cracow, Poland, in the Europe region.
How does GMUM - Group of Machine Learning Research make money?
Five revenue lines are on record. Academic Research Grants are the primary driver. The others are ELIAS European Lighthouse of AI for Sustainability, interpretable and Interactive Multimodal Retrieval in Drug Discovery (FENG), national Science Center OPUS Grant and marie Skłodowska-Curie Doctoral Network.
Who are GMUM - Group of Machine Learning Research's main competitors?
Broad incumbents on record are MILA (Quebec AI Institute), DeepMind, ETH AI Center, Max Planck Institute for Intelligent Systems and FAIR (Meta AI Research). Schrödinger, Inc. is listed as an emerging player. Direct peers are ELLIS (European Laboratory for Learning and Intelligent Systems), University of Warsaw Machine Learning Group (ML^2) and IDEAS NCBR. Nomagic is listed as an others.
Does GMUM - Group of Machine Learning Research have an API?
No public API is recorded for GMUM - Group of Machine Learning Research.