Quick facts
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- Deliver powerful AI for your business needs
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- Paid
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About DataRobot
The DataRobot AI Platform is an open and flexible tool designed to meet the AI needs of your team. It brings together generative and predictive workflows into a unified platform, allowing you to quickly deliver AI solutions for your business. The platform offers a range of features to help you throughout the AI lifecycle. In the AI experimentation phase, you can connect and assess data, engineer new features, and integrate with feature stores. You can also train multiple modeling strategies in parallel using structured and unstructured data, and evaluate model performance, identify key drivers, and create customizable apps to drive decisions.For AI production, the DataRobot AI Platform enables you to create a centralized system of record for all models, and automate compliance documentation. You can deploy and integrate any model, anywhere, with multiple deployment options. Additionally, you can monitor and measure model accuracy, ROI, and bias in real-time from any hosting environment.The platform also offers an open ecosystem, allowing you to integrate your data warehouses, ML APIs, workflow tooling, BI tools, and business apps. You can choose how to deploy DataRobot, whether it's in a managed SaaS environment, private cloud, or public cloud.DataRobot provides resources for insights, education, and practitioner support, including a resource library, blog, events, webinars, and a community. They also offer professional services to provide applied AI expertise.Overall, the DataRobot AI Platform aims to streamline and optimize the AI workflow, making it easier for businesses to deliver and leverage the power of AI.
Pros
- Unified Intelligence Layer to manage generative and predictive AI assets across clouds and hybrid environments
- Native integrations with Google BigQuery, Snowflake, Databricks, and AzureML for in-place data and model operations
- Single-tenant SaaS on AWS or Azure and self-managed VPC options with HIPAA compliance
- Centralized AI governance with real-time observability, intervention, and LLM moderation for RAG workflows
- Advanced vector database management with versioning, activity logs, and performance benchmarks
- Code-first custom retraining with automated triggers and challenger testing
- Support for both generative and predictive AI, including LLMs, time series, and forecasting
- End-to-end AI application development, deployment, and hosting with integrations to core business apps
- Flexible infrastructure for on-prem, cloud, or hybrid scaling with support for GPUs, containers, and Nutanix
- Enterprise-grade security, data privacy, and compliance in a secure cloud-native architecture