# DataRobot > DataRobot is an enterprise platform for building, deploying, governing, and monitoring predictive, generative, and agentic AI applications. DataRobot serves data science, ML engineering, and AI leadership teams across regulated industries including manufacturing, oil and gas, government, financial services, and life sciences. ## Platform - [AI Platform](https://www.datarobot.com/product/ai-platform/): Overview of the DataRobot AI Platform covering model development, deployment, monitoring, and governance. - [AI Foundation](https://www.datarobot.com/product/ai-foundation/): Building, deploying, and governing AI agents on any infrastructure, including on-premise, air-gapped, sovereign, and hybrid deployments. - [AI Apps & Agents](https://www.datarobot.com/product/ai-apps/): Prebuilt and custom AI applications and agents that deliver business outcomes on top of the platform. - [Covalent](https://www.datarobot.com/product/covalent/): Open-source compute orchestration for agentic AI, automating workload distribution across cloud and on-premise infrastructure. - [syftr](https://www.datarobot.com/product/syftr/): Open-source framework for finding accurate, low-latency, cost-effective agentic AI workflow configurations. - [Services](https://www.datarobot.com/product/services/): AI, engineering, and project management services for implementation and scaling. ## Capabilities - [Agentic AI](https://www.datarobot.com/product/agentic-ai/): Tools for building, deploying, and observing AI agents and multi-step agentic workflows in production. - [Generative AI](https://www.datarobot.com/product/generative-ai/): Capabilities for building, evaluating, and operating generative AI applications grounded in enterprise data. - [Predictive AI](https://www.datarobot.com/product/predictive-ai/): Automated machine learning for classification, regression, forecasting, and other predictive use cases. - [AI Governance](https://www.datarobot.com/product/ai-governance/): Policies, controls, and audit trails for managing AI models across their lifecycle. - [AI Observability](https://www.datarobot.com/product/ai-observability/): Monitoring for model performance, drift, data quality, and intervention across generative and predictive AI. ## Industries - [Manufacturing](https://www.datarobot.com/solutions/manufacturing/): Agentic AI for manufacturing, including failure prediction, quality control, and disruption response with production governance. - [Oil & Gas](https://www.datarobot.com/solutions/oil-and-gas/): AI for upstream, midstream, and downstream operations, turning field data into governed real-time decisions. - [Government & Public Sector](https://www.datarobot.com/solutions/ai-for-government-agencies/): Federal, state, and local government use cases with on-premise, air-gapped, and sovereign deployment options. - [Financial Services](https://www.datarobot.com/solutions/financial-services/): Use cases, customer references, and architectures for AI in banking, insurance, and capital markets. - [Life Sciences](https://www.datarobot.com/solutions/life-sciences/): AI for regulated, data-sensitive life sciences environments including research, trials, and commercial operations. - [Supply Chain & Operations](https://www.datarobot.com/solutions/supply-chain-operations/): AI applications for supply chain optimization, inventory management, and operational risk management. ## Technology Partners - [Technology Alliances](https://www.datarobot.com/partners/technology-partners/): DataRobot's Technology Alliances Program and the integrations built with partner platforms. - [NVIDIA](https://www.datarobot.com/solutions/partners/nvidia/): Joint DataRobot and NVIDIA architectures for accelerated AI training, inference, and agentic workloads. - [SAP](https://www.datarobot.com/solutions/partners/sap/): DataRobot integration with SAP data and business processes. - [Dell](https://www.datarobot.com/solutions/partners/dell/): DataRobot on Dell infrastructure for on-premise and hybrid AI deployments. - [Nebius](https://www.datarobot.com/solutions/partners/nebius/): DataRobot on Nebius cloud infrastructure for AI workloads. ## Audiences - [For Leaders](https://www.datarobot.com/why-datarobot/leaders/): How DataRobot supports executives and AI leaders responsible for AI strategy, ROI, and risk. - [For Practitioners](https://www.datarobot.com/why-datarobot/practitioners/): How DataRobot supports data scientists and ML engineers across the model lifecycle. ## Customers & Company - [Featured Customers](https://www.datarobot.com/why-datarobot/customers/): Customer stories and case studies showing how organizations deploy DataRobot in production. - [About DataRobot](https://www.datarobot.com/about-us/): Company overview, mission, and leadership. - [Newsroom](https://www.datarobot.com/newsroom/): Press releases, company announcements, and media coverage. - [Blog](https://www.datarobot.com/blog/): Index of DataRobot blog posts covering product, research, and applied AI practice. ## Trust & Security - [Trust Center](https://www.datarobot.com/trustcenter/): Security, privacy, and compliance information including certifications, subprocessors, and data handling practices. ## Documentation - [DataRobot Docs](https://docs.datarobot.com/en/docs/index.html): Product documentation, API reference, tutorials, and release notes for the DataRobot platform.