GLBNXT Platform
GLBNXT Platform is a fully managed AI platform built for development teams. It brings together the world's best open-source tools, from model serving and vector databases to workflow automation and frontend interfaces, into a single, enterprise-ready environment that is sovereign, secure, and orchestrated end-to-end.
Most organisations are slowed down by fragmented stacks, broken integrations, and the operational burden of managing open-source infrastructure themselves. GLBNXT Platform removes that complexity entirely. Compute, networking, orchestration, secrets management, observability, compliance, and model routing are all handled at the platform level, so your engineers can focus on building AI products rather than maintaining the stack behind them.
The platform operates around a clear division of responsibility. GLBNXT manages the foundation: GPU and CPU compute, Kubernetes orchestration, storage, backups, security controls, and audit trails. Your development team builds the solutions on top: RAG pipelines, AI assistants, multi-agent workflows, APIs, and user-facing applications. A single platform orchestrates the layer beneath it all, so everything works together by default.
The platform operates around a clear division of responsibility. GLBNXT manages the foundation: GPU and CPU compute, Kubernetes orchestration, storage, backups, security controls, and audit trails. Your development team builds the solutions on top: RAG pipelines, AI assistants, multi-agent workflows, APIs, and user-facing applications. A single platform orchestrates the layer beneath it all, so everything works together by default.
GLBNXT Platform is built on open standards and open-source technologies. There is no vendor lock-in, no proprietary black-box layer, and no dependency on US hyperscaler infrastructure. All compute runs within the EU, with data residency guarantees and compliance alignment for GDPR, ISO 27001, and sector-specific regulatory requirements.
Who This Documentation Is For
This documentation is written for the teams that build on GLBNXT Platform:
ML Engineers and Data Scientists deploying and evaluating models, building inference pipelines, and integrating AI capabilities into applications
Data Engineers designing RAG systems, managing vector databases, and building data pipelines that feed AI workloads
DevOps and IT Architects responsible for access control, environment configuration, security posture, and operational governance
Product Leaders and CTOs evaluating the platform's capabilities, compliance profile, and strategic fit for their organisation
Whether you are onboarding for the first time or building your first production AI application, this documentation will guide you through platform capabilities and help you get to value quickly.
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