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.
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 agentic AI apps and templates. Accelerate AI development with a library of customizable code-first agentic apps and 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.
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.
Collaborate within use cases and codespaces. Access all project data, experiments, models, AI applications, and notebooks in one easily accessible location. Use reproducible custom environments to seamlessly collaborate across hosted notebooks and codespaces.
Store, share, and manage all AI assets grouped by business problem
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.
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.
Keep MRM and compliance teams audit-ready
Notify ITOps for swift resolution
Enable business teams to provide early feedback
Streamline handoffs from AI developers to ITOps
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.
Harness your data in any format or environment. Easily connect to any data source and harness data in any format—structured or unstructured. Leverage text, images, geospatial, audio, and video data from cloud warehouses, object storage, or local files using our open engine and robust ecosystem of connectors and APIs.
Accelerate development and deployment. Deploy models with one click and integrate predictions into downstream tools. Use pre-built, customizable templates to quickly build and share AI-powered applications for business users.
Simplify your AI application infrastructure. Focus on delivering AI projects without worrying about resource management, machine provisioning, or relying on IT for extra capacity. Securely share AI applications with managed authentication and reduce latency while autoscaling tasks like updating vector databases.
Optimize model serving efficiency. Choose the best deployment method for your needs with diverse options including real-time, batch scoring, edge serving, or streaming for dynamic generative AI. Simplify model serving with automated tools, APIs, and an intuitive interface, enabling efficient predictions and easy maintenance of AI models in production.
Gain consistent performance insight. Efficiently assess and analyze generative and predictive AI models with standard out-of-the-box metrics, real-time performance tracking, and deep drift insights. Ensure that only high-quality models are in production, no matter where they were built.
Ensure enterprise-grade security. Connect to any endpoint – on-premises, multi-tenant, or single-tenant SaaS – and take advantage of robust security options.
Scale cost-effectively with GPUs. Accelerate AI 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.
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.
Accelerate AI deployment with dynamic compute orchestration. Scale complex AI workloads without the hassles of server management and cloud configurations. Just define your compute needs and our platform handles the rest.
Reduce infrastructure complexity and costs. Reduce unnecessary compute costs and manual provisioning with a serverless environment. Easily control compute tasks and their costs with real-time monitoring and eliminate waste with autoscaling.
Achieve greater tool and infrastructure flexibility. Don’t let your GPUs sit idle. Tap into every available compute option to keep workloads moving and costs under control. Leverage all available compute options to optimize for availability, latency, and cost.
“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.”