NOMAD
NOMAD is a Berlin-based, non-profit research consortium operating the world's largest open-source computational materials science data platform (19M+ records) with an integrated AI Toolkit, serving academic researchers and industry materials R&D partners via the FAIRmat NFDI consortium.
- Company typePrivate
- Founded2017
- HeadquartersBerlin, Germany
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What NOMAD does
NOMAD is a Berlin-based, non-profit research data infrastructure consortium, legally operated through FAIR-DI e.V. (a registered German association, eingetragener Verein) and hosted primarily at Humboldt-Universität zu Berlin in partnership with the Fritz Haber Institute of the Max Planck Society. The NOMAD Laboratory was established in 2017, with the FAIRmat NFDI consortium and NOMAD Center of Excellence launched in 2020. The organization serves academic researchers, research institutions, and a "Second Shell" of industry partners in materials R&D through a globally accessible web platform (nomad-lab.eu) and local institutional deployments (NOMAD Oasis). Its user base spans condensed-matter physics, computational chemistry, and materials science communities worldwide, accessed via a community-led go-to-market motion consisting of tutorials, workshops, conferences (MRS, APS, DPG), and peer recommendations.
The platform comprises three core services: the NOMAD Repository & Archive (containing over 19 million entries from DFT, molecular dynamics, and beyond-DFT calculations, with automated data extraction and structured metadata), the NOMAD Encyclopedia (a materials-oriented exploration interface over the repository via GUI and API), and the NOMAD AI Toolkit (a Jupyter notebook analytics environment). The technical stack includes exascale-targeted HPC libraries (ELPA eigenvalue solver, Green-X, Libxc-X for non-local Fock exchange), specialized AI/ML methods (SISSO compressed sensing, MACE and ACE equivariant neural networks, QUIP/GAP, subgroup discovery), and integrated codes (FHI-aims, Abinit, exciting, GPAW). NOMAD CAMELS (2024) and pynxtools (2023) extend coverage into experimental workflows via the NeXus/HDF5 standard, supported by Electronic Lab Notebook integration (eLabFTW). External integrations include the OPTIMADE API for materials database interoperability and MDAnalysis for molecular dynamics trajectory analysis. A public REST API and Python SDK (nomad-lab) enable programmatic access.
NOMAD operates as a free, open-source platform with no commercial pricing or transaction revenue. Funding flows through European and German national research grants — principally the National Research Data Infrastructure (NFDI) initiative funded by BMBF, EU Horizon programs, and direct institutional support from the Max Planck Society and Humboldt-Universität zu Berlin. The organization has no disclosed venture funding, no parent company, no subsidiaries, and no commercial customer base; its 11–50 staff operate across Berlin and affiliated European research institutions.
NOMAD firmographics
Firmographics- Name
- NOMAD
- Legal name
- FAIR-DI e.V.
- Website
- https://nomad-coe.eu
- Company type
- Private
- Founded year
- 2017
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- NOMAD is a Berlin-based, non-profit research consortium operating the world's largest open-source computational materials science data platform (19M+ records) with an integrated AI Toolkit, serving academic researchers and industry materials R&D partners via the FAIRmat NFDI consortium.
- Ownership category
- akta.pro rank
NOMAD industry classification
Industry- Product category
- Scientific Research Data Infrastructure
- NAICS
- Web Search Portals, Libraries, Archives, and Other Information Services (5192)
- SIC
- Services-Commercial Physical & Biological Research (8731)
- akta.pro primary industry
- Enterprise Application Lifecycle Management (ALM) Platforms (HDAEAKAJ)
Keywords
Where NOMAD is headquartered
LocationHeadquarters
- HQ city
- Berlin
- HQ country
- Germany
- HQ region
- Europe
Offices2 records
Markets served
NOMAD business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Infrastructure
Revenue model
- Public Research Infrastructure Service: NOMAD operates as a free, open-source research data infrastructure platform primarily funded through European and German national research grants (EU Horizon programs, German Ministry of Education and Research through NFDI). Revenue is not generated from commercial transactions but through research funding consortiums.
Go-to-market motion1 record
Distribution channels4 records
Marketing channels8 records
NOMAD product offering
Product offeringCore offering
NOMAD is a web-based open research data management platform for computational materials science, enabling uploading, storing, sharing, and publishing of research data following FAIR (Findable, Accessible, Interoperable, Reusable) principles. Its core consists of three integrated components: the NOMAD Repository & Archive (containing over 19 million materials science records), the NOMAD Encyclopedia for materials-oriented exploration via GUI and API, and the NOMAD AI Toolkit for machine-learning analytics against archived data. The platform extends to local institutional deployments through NOMAD OASIS and experimental workflows through pynxtools and NOMAD CAMELS.
Product overview
NOMAD is a web-based research data management platform for materials science, developed by the FAIRmat consortium and operated as part of the National Research Data Infrastructure (NFDI). The core offering consists of three integrated components: the NOMAD Repository & Archive (for uploading and storing computational materials data), the NOMAD Encyclopedia (for exploring and discovering materials), and the NOMAD AI Toolkit (for machine learning analytics on archived data). The platform extends through a modular plugin architecture supporting both computational codes (DFT, molecular dynamics, beyond-DFT) and experimental data formats via NeXus/pynxtools. NOMAD CAMELS provides specialized experimental workflows, while NOMAD Oasis enables local institutional deployments. All components support FAIR (Findable, Accessible, Interoperable, Reusable) data principles with rich metadata, standardized schemas, and DOI publication.
Differentiator
Problem solved
Functional benefit
Products and services
- NOMAD Repository & Archive Web-based platform for uploading, storing, sharing, and publishing computational materials science research data, containing over 19 million entries from DFT and beyond-DFT calculations with rich metadata, automated processing, and DOI assignment.
- NOMAD Encyclopedia Materials-oriented interface providing browsable access to materials, their properties, and computed data through GUI and API, enabling exploration of the materials space.
- NOMAD AI Toolkit Analytics environment with Jupyter notebooks for performing AI/ML analysis on NOMAD Archive data, supporting neural networks, kernel methods, compressed sensing (SISSO), subgroup discovery, and deep learning for materials informatics.
- NOMAD OASIS Local deployment option allowing institutions to operate NOMAD on their own infrastructure with custom rules, data policies, and schemas for institutional research data management.
- pynxtools Python framework for generating and validating NeXus files in experimental data workflows, enabling FAIR data management for ellipsometry, Raman spectroscopy, and other experimental techniques with automated conversion to NOMAD.
- NOMAD CAMELS Configurable Application for Measurements, Experiments and Laboratory Systems — a specialized extension for managing experimental materials science data workflows with standardized templates.
Quantifiable outcome
- More than 19 million materials science data records available for exploration and reuse
- +2 more outcomes
Companies that use NOMAD
Customer profileSegments4 records
Ideal customer profiles3 records
NOMAD technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration4 records
AI capability9 records
Feature13 records
NOMAD partnerships and signals
Strategic signalPartnerships
13 partnerships are on record, tiered core, secondary and supporting.
- FAIRmat ConsortiumcoreFAIRmat is a consortium of the National Research Data Infrastructure (NFDI) dedicated to building a FAIR data infrastructure for condensed-matter physics and the chemical physics of solids. FAIRmat develops and operates NOMAD as its primary platform, with the majority of the team based at Humboldt-Universität zu Berlin. The consortium includes multiple working areas (A-G) covering synthesis, experiment, computation, infrastructure, use cases, training, and coordination.
- FAIR-DI e.V.coreFAIR-DI e.V. (FAIR Data Infrastructure for Materials Genomics) is a registered association that serves as a key organizational partner. It is registered at AG Berlin-Charlottenburg and handles data protection responsibilities. FAIR-DI coordinates the broader European materials data community.
- NOMAD Laboratory (nomad-lab.eu)coreNOMAD Laboratory is a key affiliated organization, operated at the Fritz Haber Institute of the Max Planck Society. It develops advanced computational methods and AI tools for materials science, including the NOMAD AI Toolkit.
- Humboldt-Universität zu BerlincoreThe primary institutional host for FAIRmat and NOMAD CoE activities, located at the Zum Großen Windkanal site in Berlin-Adlershof. Provides academic affiliation and institutional infrastructure.
- Fritz Haber Institute of the Max Planck SocietycoreHosts the NOMAD Laboratory and contributes foundational research in computational materials science, electronic structure methods, and AI-driven materials discovery. Key researchers including Matthias Scheffler and Claudia Draxl are affiliated with this institute.
- NFDI-MatWerksecondaryPart of the Physical Sciences in NFDI collaboration, focusing on materials science data standards and interoperability within the German National Research Data Infrastructure.
- NFDI4CatsecondaryNFDI consortium for catalysis research, collaborating on FAIR data standards and interoperability for catalysis and surface science data.
- NFDI4ChemsecondaryNFDI consortium for chemistry, collaborating on cross-disciplinary FAIR data infrastructure and standards.
- DAPHNE4NFDIsecondaryNFDI consortium for photon and neutron facilities, collaborating on FAIR data standards for experimental materials science data.
- MaRDIsecondaryNFDI consortium for mathematics, contributing to data standards and workflows relevant to computational materials science.
- PUNCH4NFDIsecondaryNFDI consortium contributing to the Physical Sciences in NFDI collaborative events and data infrastructure development.
- NFDI (National Research Data Infrastructure)coreGerman national initiative for research data management that funds the FAIRmat consortium and related NFDI consortia. NOMAD is a flagship project within this infrastructure.
- European HPC CenterssupportingCollaboration with European High Performance Computing centers including LUMI, Max Planck Society HPC, North-German Supercomputing Alliance, and Jülich Supercomputing Centre for exascale computational resources.
Scale indicators3 records
Recent moves6 records
Expansion highlights6 records
NOMAD competitors and assessment
Company assessmentBroad incumbents
- Cambridge Crystallographic Data Centre (CCDC): Long-established non-profit operating the Cambridge Structural Database for small-molecule and crystallographic data. Comparable as a foundational crystallographic and structural data provider, though with a much narrower (experimental-only) data scope.
- SpringerMaterials: Springer Nature's curated materials science database aggregating curated datasets and property information. Comparable as a broad materials-data resource for researchers, though narrower and commercial rather than community-driven open infrastructure.
Direct peers
- Materials Data Facility: U.S. National Science Foundation–funded data facility supporting publication, discovery, and reuse of materials datasets. Comparable as a community research data infrastructure for materials science with overlapping FAIR-data objectives.
- Materials Project: U.S. Department of Energy–backed computational materials science database providing computed properties of inorganic compounds via web platform and APIs. Directly comparable to NOMAD in mission, dataset type, and user base (DFT-driven, computed materials data).
- Materials Cloud: EPFL-hosted open platform for computational materials science offering archiving, sharing, and workflows for both computational and experimental data. Directly comparable in serving the same European research community with FAIR-compliant data infrastructure.
- AFLOW: Duke University–led high-throughput computational materials database and tool suite focused on inorganic crystal structure repositories. Comparable as a large-scale DFT-derived materials data resource serving condensed-matter and materials science researchers.
- OQMD: Northwestern University–operated Open Quantum Materials Database providing DFT-calculated formation energies and related properties. Compares as a peer computational materials database with similar DFT scope and researcher audience.
Others
- Zenodo: CERN-hosted open general-purpose research data repository used widely across scientific domains. Comparable as enabling FAIR-compliant research data publishing with DOI assignment, though domain-agnostic rather than materials-science-specific.
Emerging players
- Citrination: Materials informatics platform combining curated materials data with machine-learning tooling, originally spun out of the Materials Project. Comparable in offering AI-driven materials property prediction, but more commercial/marketplace in orientation.
- PubChem: NIH-hosted open chemistry information portal operated by the National Library of Medicine. Partial overlap with NOMAD's chemistry-relevant metadata and molecules, though focused on chemical compounds rather than materials properties.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks5 records
Key highlights7 records
Customer concentration
NOMAD social profiles
Digital presenceNOMAD compliance and trust
Trust signalCompliance1 record
NOMAD financial estimates
Financial estimateRevenue estimate
Valuation estimate
NOMAD leadership team
Management profileNumber of profiles
NOMAD funding detail
Funding detailFunding overview
Funding rounds
Investors
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NOMAD M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about NOMAD
What does NOMAD do?
NOMAD is a web-based open research data management platform for computational materials science, enabling uploading, storing, sharing, and publishing of research data following FAIR (Findable, Accessible, Interoperable, Reusable) principles. Its core consists of three integrated components: the NOMAD Repository & Archive (containing over 19 million materials science records), the NOMAD Encyclopedia for materials-oriented exploration via GUI and API, and the NOMAD AI Toolkit for machine-learning analytics against archived data. The platform extends to local institutional deployments through NOMAD OASIS and experimental workflows through pynxtools and NOMAD CAMELS.
Is NOMAD a public or private company?
NOMAD is a private company. It is classified as nonprofit foundation owned and is currently operating.
When was NOMAD founded?
NOMAD was founded in 2017. It employs 11 to 50 people.
Where is NOMAD based?
NOMAD is headquartered in Berlin, Germany, in the Europe region.
How does NOMAD make money?
One revenue line is on record: public Research Infrastructure Service.
Who are NOMAD's main competitors?
Broad incumbents on record are Cambridge Crystallographic Data Centre (CCDC) and SpringerMaterials. Direct peers are Materials Data Facility, Materials Project, Materials Cloud, AFLOW and OQMD. Zenodo is listed as an others. Emerging players are Citrination and PubChem.
Does NOMAD have an API?
Yes. NOMAD provides a public REST API enabling developers to query the NOMAD Archive, search entries, access processed data, and perform authenticated operations. The API supports programmatic data upload, publication workflows, and DOI assignment. Endpoints documented include GET /entry/entry_id, POST /entry/entry_id/archive/query for archive queries, and POST /entry/query for searches. An API dashboard is available for authentication and testing. A Python package (nomad-lab) is offered for convenient programmatic access. Developer documentation is at nomad-lab.eu/prod/v1/docs.
What industry is NOMAD in?
NOMAD's product category is Scientific Research Data Infrastructure. Its primary akta.pro industry code is HDAEAKAJ, Enterprise Application Lifecycle Management (ALM) Platforms. Its NAICS code is 5192 and its SIC code is 8731.