DUBLIN, IRELAND
DUBLIN, IRELAND
The Linux Foundation
The Linux Foundation
The Linux Foundation's CAMARA project brought together contributors across Deutsche Telekom, Orange, Nokia and the wider ecosystem, to define how AI systems could work with network infrastructure through MCP.
Duration
16 WEEKS
Client
The Linux Foundation



[
Aligning a complex position
]
The paper had to bring two fast-moving technical systems into one clear argument. AI applications increasingly shape digital services, while telecom networks hold real-time capabilities those systems cannot easily access. Through CAMARA, the Linux Foundation brought operators and technology companies together to define how MCP could bridge that gap without losing security, interoperability or technical precision. Multiple specialist viewpoints had to become one narrative that decision-makers, developers and industry partners could follow.
01
[
Aligning a complex position
]
01
The paper had to bring two fast-moving technical systems into one clear argument. AI applications increasingly shape digital services, while telecom networks hold real-time capabilities those systems cannot easily access. Through CAMARA, the Linux Foundation brought operators and technology companies together to define how MCP could bridge that gap without losing security, interoperability or technical precision. Multiple specialist viewpoints had to become one narrative that decision-makers, developers and industry partners could follow.
[
Aligning a complex position
]
01
The paper had to bring two fast-moving technical systems into one clear argument. AI applications increasingly shape digital services, while telecom networks hold real-time capabilities those systems cannot easily access. Through CAMARA, the Linux Foundation brought operators and technology companies together to define how MCP could bridge that gap without losing security, interoperability or technical precision. Multiple specialist viewpoints had to become one narrative that decision-makers, developers and industry partners could follow.












[
A collaborative position
]
Working collaboratively with lead authors Herbert Damker, Nick Venezia and Tanja de Groot, alongside technical reviewers and contributors from Deutsche Telekom, Orange, Nokia and the wider CAMARA community, Studio Seneca led the publication's editorial design and production. We helped structure and clarify the narrative, created the visual language and shaped diagrams, hierarchy and pacing so dense technical material could be assessed without losing precision.
02
[
A collaborative position
]
02
Working collaboratively with lead authors Herbert Damker, Nick Venezia and Tanja de Groot, alongside technical reviewers and contributors from Deutsche Telekom, Orange, Nokia and the wider CAMARA community, Studio Seneca led the publication's editorial design and production. We helped structure and clarify the narrative, created the visual language and shaped diagrams, hierarchy and pacing so dense technical material could be assessed without losing precision.
[
A collaborative position
]
02
Working collaboratively with lead authors Herbert Damker, Nick Venezia and Tanja de Groot, alongside technical reviewers and contributors from Deutsche Telekom, Orange, Nokia and the wider CAMARA community, Studio Seneca led the publication's editorial design and production. We helped structure and clarify the narrative, created the visual language and shaped diagrams, hierarchy and pacing so dense technical material could be assessed without losing precision.

[
A position built to travel
]
In Concert gave CAMARA a clear, finished publication for introducing network-aware AI applications to the wider ecosystem. The paper provides one shared framework for explaining how CAMARA APIs and MCP can work together across operator, developer and technology audiences, supporting industry discussion around a new class of intelligent applications.
03
[
A position built to travel
]
03
In Concert gave CAMARA a clear, finished publication for introducing network-aware AI applications to the wider ecosystem. The paper provides one shared framework for explaining how CAMARA APIs and MCP can work together across operator, developer and technology audiences, supporting industry discussion around a new class of intelligent applications.
[
A position built to travel
]
03
In Concert gave CAMARA a clear, finished publication for introducing network-aware AI applications to the wider ecosystem. The paper provides one shared framework for explaining how CAMARA APIs and MCP can work together across operator, developer and technology audiences, supporting industry discussion around a new class of intelligent applications.
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