Nebius AI Cloud
Managed AI Tools & AI Agent Development
Enterprises need AI tools that do real work, not isolated demos. Nebius AI Studio provides the model access, function calling, and production tooling required to build enterprise-grade copilots, workflow assistants, and agent systems.
Zenvue helps UAE and EMEA organisations design, deploy, and operationalise these systems, turning platform capabilities into AI tools that teams actually use and trust.
What Nebius Enables
The building blocks for enterprise AI tools
Building enterprise AI tools is more than calling a model API. It requires model diversity, function calling, structured outputs, multimodal support, and production-grade performance, in one managed environment.
30+ Open-Source Models
Access Llama, Mistral, DeepSeek, Qwen, and more through a single platform, with no model-by-model procurement or fragmented API management.
Native Function Calling
Built-in tool calling support across supported LLMs, enabling agents to trigger actions, query systems, and execute workflows in response to user intent.
Structured JSON Outputs
Reliable structured output generation for downstream system integration, with built-in safety guardrails that keep agent responses within defined boundaries.
Text, Image & Embeddings
Text generation, image processing, embedding creation, and multimodal tasks, all in one environment without switching platforms or managing separate pipelines.
Production-Scale Throughput
High throughput, custom latency tuning, and speculative decoding, optimised for enterprise workloads where response time and reliability directly affect user experience.
Fine-Tuning & Support
Fine-tune models on your enterprise data with platform-level support. OpenAI-compatible APIs simplify migration for teams already using OpenAI-style workflows.
What You Can Build
AI tools that do real work for your teams
These are the enterprise AI applications EMEA organisations build most often, each grounded in real platform capabilities, not speculative autonomy.
Internal Copilots & Knowledge Assistants
AI assistants that understand your enterprise context, answering questions, surfacing documents, and guiding teams using your data and terminology.
Workflow Assistants & Automations
Agent-based tools that trigger actions across systems (approvals, data lookups, report generation, and task routing), reducing manual handoffs.
Customer Support & Service Agents
Multi-step service agents that handle enquiries, escalate to humans when needed, and maintain context across conversations, with guardrails and audit trails.
Domain-Specific AI Tools
Purpose-built AI tools for operations, sales, procurement, or compliance, designed around your processes, not generic templates.
Governance & Operations
Production AI needs operational structure
Enterprise AI tools cannot run on ad-hoc infrastructure. Managed deployment, experiment tracking, access control, and human oversight are not optional. They are the foundation of responsible AI operations.
Deploy and scale containerised AI applications on managed Kubernetes, with the orchestration, networking, and reliability that production workloads require.
Track experiments, organise model versions, compare metrics, and deploy best-performing models, with managed infrastructure, not self-hosted tooling.
Project-based access controls, service accounts, and role management, ensuring the right teams access the right resources with enterprise-grade governance.
Production agent systems need escalation paths, safety boundaries, and human oversight. The platform supports the operational structure that responsible AI deployment demands.
How Zenvue Helps
From use case to deployed AI tool
Zenvue helps EMEA enterprises identify the right use cases, design the right agent architectures, and deploy AI tools that improve with use, not stagnate after launch.
Identify the Business Use Case
We start with the operational problem, not the technology. Which workflows, teams, or processes would benefit most from AI tools or agent-based automation?
Design the AI Tool or Agent
Model selection, function calling architecture, safety boundaries, and integration design, shaped for your enterprise systems and governance requirements.
Deploy on the Right Architecture
Production deployment on Nebius infrastructure, with managed Kubernetes, model serving, access controls, and monitoring configured for your workload.
Support Adoption & Iteration
Rollout support, user feedback integration, model refinement, and ongoing managed operations, so AI tools improve with use, not stagnate after launch.
Start the Conversation
Build enterprise AI tools that actually get used
Talk to an AI development consultant about your use cases, tooling requirements, and how Nebius AI Cloud can power practical AI tools and agents across your EMEA operations.