# Nebius Group N.V. *Also known as Nebius* - Website: https://nebius.com - Location: Amsterdam, Netherlands - AI agent profile: https://nowen.ai/agents/nebius-com > Nebius Group N.V. is a Nasdaq-listed AI cloud company delivering a unified, end-to-end platform for the AI journey to builders and enterprises worldwide. Nebius is an AI cloud company delivering a unified end-to-end platform for the AI journey—from data handling and model training to production runtime and deployment. Built on deep in-house expertise, Nebius emphasizes an engineering culture that designs and operates large-scale platforms with global reach. The company serves AI builders and enterprises worldwide across industries including healthcare and life sciences, robotics and physical AI, financial services, media & entertainment, retail, and more. Nebius is listed on Nasdaq and maintains a growing global footprint. **Mission:** To empower AI builders and enterprises worldwide by providing a reliable, end-to-end AI cloud platform that enables data preparation, model training and tuning, and production deployment. ## Products & Services ### [Managed Inference](https://nebius.com/services/token-factory) *Platform* Deliver Reliable, Fast, and Scalable Inference for Open-Source Models. - **60+ Models** — Access Diverse Models - **Fully Managed** — Focus on Development - **Unlimited Scalability** — Scale Seamlessly - **Batch Inference Pricing** — Optimize Costs - **OpenAI-Compatible API** — Simplify Integration - **Transparent Pricing** — Predict Costs - **Serving Modes** — Choose Optimal Performance ### [Agentic Search](https://nebius.com/solutions/agentic-search) *Solution* Empowers AI agents to utilize real-time web data for informed decision-making. - **Live Web Data Retrieval** — Access Current Information - **Zero-Retention Privacy** — Maintain Data Privacy - **High-Volume Web Queries** — Optimize Query Latency - **Structured Content Extraction** — Reduce Token Waste - **Comprehensive Research Reports** — Generate Informed Insights ### [Human Validation](https://nebius.com/solutions/tendem) *Solution* Enhance AI reliability with human expert validation through a streamlined integration. - **Expertise Access** — Access Verified Domain Experts - **Programmable Reliability** — Automate Human Escalation Processes - **Quality Control Mechanisms** — Ensure High-Quality Outputs - **Risk Management** — Lower Error Rates ### [AI Orchestration](https://nebius.com/orchestration) *Platform* Effortlessly manage and scale GPU workloads with AI Orchestration. - **Scalable GPU Job Management** — Manage GPU Jobs Seamlessly - **Fault Tolerance Design** — Ensure Workload Reliability - **Pre-Validated Performance** — Optimize Performance Instantly - **Soperator for Managed Slurm Clusters** — Launch Slurm Clusters Quickly - **Integrations with SkyPilot and Ray** — Connect to Preferred Workflows ### [Serverless AI](https://nebius.com/serverless) *Platform* Instantly run AI workloads and reduce infrastructure overhead with Serverless AI. - **No infrastructure setup** — Eliminate Setup Time - **On-demand scaling** — Scale Compute Instantly - **Endpoints for inference** — Deploy Models Instantly - **Job runtime** — Execute Containerized Workloads - **Pay-as-you-go** — Cost-Efficient Pricing Model - **DevPod environments** — Create Interactive Environments ### [DataOps](https://nebius.com/dataops) *Platform* Streamline AI data management with a fully managed PostgreSQL database for rapid iteration and low latency. - **Managed PostgreSQL Database** — Manage Data Effortlessly - **Integrated AI Workflow** — Reduce Latency - **Versatile Use Cases** — Support Diverse Applications - **Human Intelligence Integration** — Incorporate Expert Feedback - **Flexible Data Processing** — Expand Data Capabilities ### [ModelOps](https://nebius.com/modelops) *Platform* Streamline ML lifecycle management with comprehensive tracking and governance. - **Experiment Tracking with MLflow** — Track Experiments Seamlessly - **Support for the Full Model Lifecycle** — Manage Models End-to-End - **Integrated Environment** — Run Experiments in One Place - **Managed Service** — Simplify Model Management ### [Compute](https://nebius.com/compute) *Platform* Flexible and high-performance compute platform for AI workloads. - **GPU-accelerated instances** — Utilize NVIDIA GPUs - **Auto-scaling Clusters** — Dynamic Resource Allocation - **Managed Kubernetes** — Deploy with Ease - **Data Protection and Compliance** — Ensure Data Security - **CPU-only instances** — Support CPU Workloads ### [Networking](https://nebius.com/networking) *Platform* Provides secure and scalable networking solutions tailored for cloud-based AI workloads. - **Private By Default** — Ensures Complete Isolation - **Security Groups** — Manage Traffic Safely - **Virtual Networks** — Integrates Resource Communication - **Advanced Topologies** — Customize Network Structure - **Dynamic IP Addressing and Routing** — Tailor Network Flow ### [AI Storage](https://nebius.com/storage) *Platform* Maximize performance and efficiency with scalable, high-speed storage solutions for AI workloads. - **High-speed dataset streaming** — Accelerate Training Cycles - **Shared filesystem** — Enable Seamless Collaboration - **Rapid checkpoints** — Enhance Training Efficiency - **Intelligent storage tiers** — Optimize Costs Effectively - **Ready for multi-modality** — Support Multi-Modal Workflows - **Standard object storage** — Store Large Volumes of Data ## Market Segments - **ML training infrastructure and orchestration** (market size $12.7B, CAGR 24.5%): Capabilities to schedule, run, and scale GPU-accelerated training jobs, manage clusters and checkpoints, and provide fault tolerance and pre-validated high-performance compute for model development. - **Managed model inference and serving** (market size $23.4B, CAGR 26.8%): Managed hosting and serving of models with autoscaling endpoints, OpenAI-compatible APIs, batch inference pricing, and configurable serving modes to balance latency and throughput for production deployments. - **AI data management and low-latency databases** (market size $4.8B, CAGR 22%): Data storage, streaming, and managed database capabilities optimized for AI workflows, including high-speed dataset streaming, tiered storage, rapid checkpoints, and managed PostgreSQL for RAG, agent state, and metadata. - **Web research automation and evidence-based intelligence** (market size $3.5B, CAGR 16%): Automated web-enabled agents that extract structured data at scale, provide reasoning with citations, and deliver fresh intelligence for market research, competitive analysis, and large-scale data collection. - **Human-in-the-loop engagement and process monitoring** (market size $3.0B, CAGR 22.5%): Capabilities that enable user interaction, task routing, performance monitoring, and exception handling to maintain process quality and operational oversight. ## Who do we serve ### Growth Stage Technology Companies Global technology and AI builders aiming to scale production-grade AI platforms. - Industries: Technology, AI-focused enterprises across multiple industries. - Geography: Global, with emphasis on North America and Europe. - Pain points: Difficulty scaling AI workloads; complex ML pipelines; governance and compliance overhead; data fragmentation; integration friction. - Business goals: Scale AI initiatives; accelerate time-to-value; reduce operational complexity; improve model quality. - Positioning: A comprehensive, end-to-end AI platform that enables rapid experimentation, scalable production deployments, and secure data handling for technology and AI-driven enterprises. ### Regulated Industry Enterprises Financial services and healthcare organizations requiring strict data governance and regulatory compliance. - Industries: Financial Services, Healthcare, Life Sciences - Geography: Global, with emphasis on North America and Europe - Pain points: Compliance and risk management, data lineage, auditability, data privacy requirements, fragmented data sources - Business goals: Strengthen regulatory compliance, reduce governance overhead, accelerate secure analytics - Positioning: A comprehensive platform enabling secure, compliant data workflows and scalable AI deployment for regulated industries. ### Robotics And Industrial AI Innovators Global manufacturers and robotics firms deploying AI at scale for automation. - Industries: Robotics, Manufacturing, Industrial Automation - Geography: Global - Pain points: Managing GPU workloads for simulations; data transfer across devices; integration with control systems; reliability - Business goals: Automate operations, deploy AI at edge, reduce downtime - Positioning: A scalable AI platform enables rapid development and deployment of AI across robotics and manufacturing environments. ### Media And Retail AI Teams Media and retail brands leveraging AI for content personalization, insights, and automation. - Industries: Media, Entertainment, Retail - Geography: Global - Pain points: Personalization at scale, content recommendations, content generation, data-driven decisions, licensing constraints - Business goals: Increase engagement and monetization, optimize content workflows - Positioning: A platform to accelerate personalized content and data-driven decision-making for media and retail brands.