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Every model on Phaseo is linked to an organisation - the entity responsible for developing, training, and maintaining that model. Organisations form the backbone of the AI ecosystem, and understanding who builds what helps you contextualize each model’s purpose, capabilities, and reliability.

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What an organisation page includes

Each organisation page provides an overview of the company or research group, including:
SectionDescription
OverviewBasic details such as name, description, country, founding year, and website.
Published ModelsAll models released by the organisation, including archived or deprecated ones.

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Types of organisations on Phaseo

TypeExampleDescription
Research labsOpenAI, Anthropic, DeepMindFocused on cutting-edge AI model development and innovation.
Tech companiesGoogle, Meta, MicrosoftDeploy large-scale AI infrastructure and consumer applications.
StartupsMistral, Perplexity, SunoSmaller teams building specialized or efficient AI systems.
Open-source communitiesHugging Face, Stability AIDecentralized collaborations offering transparent model development.

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Provider vs organisation

It’s important to distinguish between organisations and API providers:
AspectOrganisationAPI Provider
DefinitionThe creator or maintainer of the model.The platform offering API access to that model.
ExampleAnthropic built the Claude series.Anthropic, AWS and Google Vertex all provide access to Claude models.
FocusResearch, training, and model architecture.Hosting, routing, pricing, and user experience.
Some organisations (like OpenAI or Google) are both the developer and provider, while others partner with multiple platforms for distribution.

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Contributing organisation data

If you notice missing or outdated information about an organisation, you can update it directly through GitHub. Contributions help maintain accuracy across the platform.

Contribute Organisation Data

Learn how to update or add organisation details safely.

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Next steps

Now that you understand how organisations are represented, you can dive deeper into their benchmarks and comparative performance.

Explore Benchmarks

See how different organisations’ models perform across standardized tasks.
Last modified on July 9, 2026