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NOMAD

Full company profile

uuid000oa3e

Namestring
NOMAD
Legal namestring
FAIR-DI e.V.
Websiteurl
nomad-coe.eu
Company typeenum
Private
Founded yearint
2017
Descriptiontext

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.

Short descriptiontext

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.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersBerlin, Germany
HQ citystring
Berlin
HQ countrystring
Germany
HQ regionstring
Europe
Markets served

Serves global market

Offices2 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
research data infrastructure, materials science platform, FAIR data management, computational materials database, exascale scientific computing
Industry1 code
1Enterprise Application Lifecycle Management (ALM) Platforms
CodeHDAEAKAJPrimaryYes
NAICS code1 code
  • Web Search Portals, Libraries, Archives, and Other Information Services5192
SIC code1 code
  • Services-Commercial Physical & Biological Research8731
Product category
Scientific Research Data Infrastructure
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1Public Research Infrastructure Service
TypeManaged Services
Description

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.

nomad-coe.eu
Marketing channels8 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels4 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components4 values
Personnel, Technology or R&D, Operations, Infrastructure
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

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.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 3 values shown
  • More than 19 million materials science data records available for exploration and reuse
+2 more records
Product overview1 text field

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.

Product and service6 records
1NOMAD Repository & Archive
CategoryData Repository
Description

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.

2NOMAD Encyclopedia
CategoryData Encyclopedia
Description

Materials-oriented interface providing browsable access to materials, their properties, and computed data through GUI and API, enabling exploration of the materials space.

3NOMAD AI Toolkit
CategoryAI Analytics
Description

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.

4NOMAD OASIS
CategoryLocal Deployment
Description

Local deployment option allowing institutions to operate NOMAD on their own infrastructure with custom rules, data policies, and schemas for institutional research data management.

5pynxtools
CategoryData Conversion Framework
Description

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.

6NOMAD CAMELS
CategoryExperimental Data Management
Description

Configurable Application for Measurements, Experiments and Laboratory Systems — a specialized extension for managing experimental materials science data workflows with standardized templates.

Scale indicator3 records

Each record includes

Type, Value, Description, Source

Partnership13 partners
Strategic tierCoreTypeStrategic or Co-development Partner
Description

FAIRmat 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.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

FAIR-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.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

NOMAD 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.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

The 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.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Hosts 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.

Strategic tierSecondaryTypeStrategic or Co-development Partner
Description

Part of the Physical Sciences in NFDI collaboration, focusing on materials science data standards and interoperability within the German National Research Data Infrastructure.

7NFDI4Cat
Strategic tierSecondaryTypeStrategic or Co-development Partner
Description

NFDI consortium for catalysis research, collaborating on FAIR data standards and interoperability for catalysis and surface science data.

nomad-coe.eu
Strategic tierSecondaryTypeStrategic or Co-development Partner
Description

NFDI consortium for chemistry, collaborating on cross-disciplinary FAIR data infrastructure and standards.

9DAPHNE4NFDI
Strategic tierSecondaryTypeStrategic or Co-development Partner
Description

NFDI consortium for photon and neutron facilities, collaborating on FAIR data standards for experimental materials science data.

nomad-coe.eu
Strategic tierSecondaryTypeStrategic or Co-development Partner
Description

NFDI consortium for mathematics, contributing to data standards and workflows relevant to computational materials science.

11PUNCH4NFDI
Strategic tierSecondaryTypeStrategic or Co-development Partner
Description

NFDI consortium contributing to the Physical Sciences in NFDI collaborative events and data infrastructure development.

nomad-coe.eu
Strategic tierCoreTypeStrategic or Co-development Partner
Description

German national initiative for research data management that funds the FAIRmat consortium and related NFDI consortia. NOMAD is a flagship project within this infrastructure.

13European HPC Centers
Strategic tierSupportingTypeTechnology or Integration
Description

Collaboration with European High Performance Computing centers including LUMI, Max Planck Society HPC, North-German Supercomputing Alliance, and Jülich Supercomputing Centre for exascale computational resources.

nomad-coe.eu
Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeBroad incumbent
Description

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.

TypeDirect peer
Description

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.

3Zenodo
TypeOthers
Description

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.

TypeEmerging player
Description

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.

5PubChem
TypeEmerging player
Description

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.

6SpringerMaterials
TypeBroad incumbent
Description

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.

7Materials Project
TypeDirect peer
Description

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).

8Materials Cloud
TypeDirect peer
Description

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.

9AFLOW
TypeDirect peer
Description

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.

10OQMD
TypeDirect peer
Description

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.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks5 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Segment4 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration4 records

Each record includes

Title, Type, Description, Source

AI capability9 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature13 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
No data
Compliance1 record

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

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

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

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

NOMAD

Scientific Research Data Infrastructurenomad-coe.eu

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.

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

  • Research data infrastructure
  • Materials science platform
  • FAIR data management
  • Computational materials database
  • Exascale scientific computing

Where NOMAD is headquartered

Location

Headquarters

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

  1. 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 offering

Core 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 profile

Segments4 records

Ideal customer profiles3 records

NOMAD technology and API

Technology

Technology 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 signal

Partnerships

13 partnerships are on record, tiered core, secondary and supporting.

  • FAIRmat ConsortiumcoreStrategic or Co-development PartnerFAIRmat 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.coreStrategic or Co-development PartnerFAIR-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)coreStrategic or Co-development PartnerNOMAD 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 BerlincoreStrategic or Co-development PartnerThe 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 SocietycoreStrategic or Co-development PartnerHosts 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-MatWerksecondaryStrategic or Co-development PartnerPart of the Physical Sciences in NFDI collaboration, focusing on materials science data standards and interoperability within the German National Research Data Infrastructure.
  • NFDI4CatsecondaryStrategic or Co-development PartnerNFDI consortium for catalysis research, collaborating on FAIR data standards and interoperability for catalysis and surface science data.
  • NFDI4ChemsecondaryStrategic or Co-development PartnerNFDI consortium for chemistry, collaborating on cross-disciplinary FAIR data infrastructure and standards.
  • DAPHNE4NFDIsecondaryStrategic or Co-development PartnerNFDI consortium for photon and neutron facilities, collaborating on FAIR data standards for experimental materials science data.
  • MaRDIsecondaryStrategic or Co-development PartnerNFDI consortium for mathematics, contributing to data standards and workflows relevant to computational materials science.
  • PUNCH4NFDIsecondaryStrategic or Co-development PartnerNFDI consortium contributing to the Physical Sciences in NFDI collaborative events and data infrastructure development.
  • NFDI (National Research Data Infrastructure)coreStrategic or Co-development PartnerGerman 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 CenterssupportingTechnology or IntegrationCollaboration 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 assessment

Broad 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 presence

NOMAD compliance and trust

Trust signal

Compliance1 record

NOMAD financial estimates

Financial estimate

Revenue estimate

Valuation estimate

NOMAD leadership team

Management profile

Number of profiles

NOMAD funding detail

Funding detail

Funding overview

Funding rounds

Investors

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

NOMAD 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 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.

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