Platform versus Workspace

GLBNXT offers two distinct products that serve different audiences and purposes within an organisation. While both are built on the same commitment to European data sovereignty and enterprise-grade security, they are designed for fundamentally different use cases and user profiles.

Understanding the distinction helps teams identify which product they are working with, where to find the right documentation, and how the two products can complement each other within the same organisation.

GLBNXT Platform

GLBNXT Platform is built for development teams. It provides the complete AI infrastructure stack that engineers, data scientists, and architects need to design, build, and deploy AI-powered applications and services.

Platform users are builders. They work with model endpoints, vector databases, workflow automation, APIs, and application components to create AI solutions for their organisation or for clients. The platform gives them a managed, sovereign environment where all infrastructure concerns are handled by GLBNXT, and all building capabilities are available from day one.

Typical Platform users include:

• ML Engineers and Data Scientists building inference pipelines and AI-powered services

• Data Engineers designing RAG systems and managing data pipelines

• DevOps and IT Architects configuring environments, access controls, and security posture

• Product Leaders and CTOs overseeing AI solution delivery and platform governance

GLBNXT Workspace

GLBNXT Workspace is built for knowledge workers and business teams. It provides a governed, compliant AI environment for employees who use AI to do their work, without needing to understand or interact with the infrastructure behind it.

Workspace users are consumers of AI capability. They work with AI assistants, document analysis tools, knowledge search, and productivity features within a secure, policy-controlled environment. Workspace abstracts away all technical complexity so that business users can benefit from AI without requiring any technical background.

Typical Workspace users include:

• Business analysts and consultants working with documents and data

• Legal, compliance, and finance teams using AI for research and review

• Operations and HR teams automating routine knowledge work

• Any employee using AI tools within a governed enterprise environment

Choosing the Right Product

The two products are not mutually exclusive. Many organisations use both: development teams build AI solutions and services on Platform, while business teams consume AI capabilities through Workspace. In this model, Platform is where solutions are created and Workspace is where they are used.

	GLBNXT Platform	GLBNXT Workspace
Primary audience	Development teams	Knowledge workers
Primary activity	Building AI solutions	Using AI capabilities
Technical depth required	Medium to high	None
Key capabilities	Model serving, RAG, agents, workflows, APIs	AI assistants, document analysis, knowledge search
Governance model	Infrastructure and deployment controls	Usage policies and data access controls
Deployment	Managed infrastructure environment	Managed workspace environment

Where to Go From Here

If you are a developer, data scientist, or architect building AI solutions, you are in the right place. Continue with the Getting Started section to begin working with GLBNXT Platform.

If you are a business user or knowledge worker looking to use AI within a governed environment, visit the GLBNXT Workspace documentation.