AI Foundation
Unify your AI to drive innovation and unlock powerful use cases. Harness the combined power of generative and predictive AI with tailored workflows on a unified platform. With an intuitive user interface, the enterprise AI suite provides a roadmap for developing, delivering, and governing comprehensive AI applications across all environments.
Predictive and generative AI application development, delivery and governance in one unified platform.
Get started fast with fully managed notebooks. Build with managed, zero-configuration notebooks in seconds, without the need to set up underlying infrastructure, to ensure that all your AI projects and artifacts are well-governed, organized, and easy-to-share.
Draw from a library of shareable templates. Accelerate your development velocity with a library of customizable code-first AI Application Templates. Each template contains reusable code and built-in best practices, and are fully integrated with GitHub. Or, develop your own shareable custom templates. Either way, you can deliver AI applications in hours, not weeks.
Application Template library for fast, repeatable, scalable AI application development.
Work with your preferred tools. Our open engine, extensive APIs, broad partner ecosystem, and customizable development environments allow you to integrate your existing tools and leverage the latest technologies.
Leverage our developer suite of coding tools . Develop and deliver models end-to-end with the precision, control, and reproducibility of code. Discover insights, build features, develop models, and programmatically schedule processing jobs – all within our hosted notebooks. Customize codespace environments to enable your team to consistently develop production-ready models and applications.
Deep code, fully managed notebook experience
Collaborate in open workspaces and codespaces. Access all project data, experiments, features, and notebooks in one easily accessible location. Use reproducible custom environments to seamlessly collaborate across hosted notebooks and codespaces.
share and manage all AI assets
share and collaborate within notebooks on the same codebase
Maintain full visibility across all AI assets. Centralize all AI assets—data catalogs, models, applications, and use cases—in our unified Registry so your entire team can easily access, share, and collaborate on AI projects, regardless of where they were built.
AI Registry to store, manage and maintain visibility of all AI assets
Simplify handoffs between teams. Support easy collaboration across all stakeholders involved in your AI projects and accelerate the process of bringing AI from idea to application.
Model Risk Management and Compliance teams can leverage auto-generated testing and compliance documentation
IT Ops teams can be alerted immediately of any issues with real-time notifications
Business stakeholders can provide early feedback with collaborative custom applications
AI builders can transition projects to ITOps teams easily with one-click deployment
Maintain control while encouraging teamwork Ensure that only authorized personnel can make changes to production models with role-based approval workflows (RBAC). Easily track and audit those changes with built-in versioning and lineage tracking.
Role-based approvals for control while collaborating.
Harness your data in any format or environment. Our open engine, along with an extensive partner and API ecosystem, enables seamless data integration across your organization—from any database and data warehouse to object storage and local files. Wherever your data resides, you can leverage it for generative AI and multimodal machine learning, incorporating categorical, text-based, image-based, and geospatial inputs.
Integrate data from any data warehouse, database, object storage, and local files.
Accelerate your AI development and deployment. Use one-click deployment to automatically generate an endpoint that integrates predictions and outputs into downstream business applications and tools. Leverage pre-built, customizable Application Templates to rapidly develop AI-powered applications and interfaces for business users that are accessible via a shareable link.
Simplify your AI application infrastructure. Focus on delivering AI/ML models without worrying about resource management, machine provisioning, or relying on IT for extra capacity. Securely share AI applications with managed authentication and reduce prediction latency while autoscaling tasks like updating vector databases to enhance performance.
Fully manage AI application infrastructure and authentication
Optimize model serving efficiency. Choose the best deployment method for your needs with diverse model serving options, ensuring performance, scalability and seamless integration. Simplify model serving with automated tools, APIs, and an intuitive interface, enabling efficient predictions and easy maintenance of AI/ML models in production.
Real-time scoring with low latency for time sensitive predictions
Offline batch scoring for large datasets
Edge serving to support inference workloads with strict latency requirements
Streaming for generative AI model responses
Gain consistent performance insight. Efficiently assess and analyze generative and predictive AI models with standard out-of-the-box metrics, ensuring that only high-quality models are in production, no matter where they were built.
Ensure enterprise-grade security. Connect to any endpoint – on-prem, multi-tenant or single-tenant SaaS – and take advantage of robust security options.
Scale cost-effectively with GPUs. Accelerate AI/ML workflows with DataRobot’s NVIDIA GPU integration, delivering faster inference and training. Minimize bottlenecks, achieve enterprise scale quickly, and leverage GPUs more cost-effectively than other solutions.
NVIDIA GPU integration for fast inference and training workloads.
Maximize user adoption. Weave AI into the fabric of your organization to amplify impact and enable AI-driven decision-making across more users. Seamlessly integrate with your existing business intelligence and chat platforms to empower your business stakeholders with generative and predictive AI applications.
“When we apply really good predictive AI on top of generative AI, now we get a deep level of precision and a deep level of personalization at scale. Those two things coming together is going to make so many things possible.”
“We didn’t have to build anything special in order to use DataRobot. We just took the data as we had it and were able to feed that to DataRobot and start joining those sources together to come up with models.”
“Our competitors are probably 10 times bigger than us in terms of team size. With the time we save with DataRobot, we now have the opportunity to get ahead of them.”