DataRobot
by DataRobot, Inc.
The enterprise AI platform to build, operate, and govern AI agents and applications at scale.
DataRobot is an enterprise AI platform that automates the end-to-end machine learning lifecycle, from data preparation and AutoML model building to deployment, monitoring, and governance. It now spans predictive and generative AI, with a unified agentic AI platform for building, operating, and governing AI agents and applications.
At a Glance
- Category
- Enterprise Platform
- Pricing
- Subscription, Contact for pricing
- Target Market
- CIOs, CTOs, Data Scientists, Enterprise Developers, Business Analysts
- Founded
- 2012
- Headquarters
- Boston, Massachusetts, USA
- Customers
- 1,000+ organizations worldwide, including roughly a third of the Fortune 50
Key Features
- ✓Automated Machine Learning (AutoML)
Automates data prep, feature engineering, model selection, and validation while still allowing custom code-first modeling.
- ✓MLOps & Model Management
Deploys, monitors, and manages models across the enterprise with tracking of performance, bias, and drift.
- ✓AI Governance
Provides enforceable controls, access and approval workflows, automated audit documentation, and testing frameworks to keep agents compliant.
- ✓Generative & Agentic AI
Builds and orchestrates AI agents and generative AI applications integrating foundation models with enterprise guardrails.
- ✓Time Series & Predictive Forecasting
Supports automated time-series forecasting and predictive analytics across many use cases.
- ✓Cloud & Data Platform Integrations
Native integrations with Snowflake, Databricks, AWS, Azure, and Google Cloud for data prep, deployment, and monitoring.
Capabilities
Use Cases
- •Demand and supply-chain forecasting
Enterprises automate forecasting across procurement, operations, and shipment to drive measurable ROI.
- •Financial process automation
Teams build and deploy predictive and generative AI to automate and accelerate financial workflows.
- •Governed enterprise AI agents
Organizations build, operate, and govern AI agents with full visibility, access controls, and audit trails.
Ideal For
Best For
- ✓Automating end-to-end machine learning with AutoML
- ✓Deploying, monitoring, and governing models in production (MLOps)
- ✓Building and governing enterprise AI agents and generative AI applications
Integrations
Deployment
Market & Ratings
1,000+ organizations worldwide, including roughly a third of the Fortune 50
Market Analysis
Pros
- ✓End-to-end automation reduces ML development time and effort
- ✓Strong enterprise governance, monitoring, and compliance capabilities
- ✓Accessible to both data scientists and business users
- ✓Broad integrations with major cloud and data platforms
Cons
- ✗Enterprise-only pricing with no perpetual free tier; can be expensive
- ✗Pricing is opaque and requires sales engagement
- ✗Highly competitive, fragmented AutoML/MLOps market
Pricing
Free Trial
$0
- ✓Credit-based trial access to explore the platform
- ✓Build and test models before committing
Enterprise (Annual Subscription)
Contact for pricing
- ✓End-to-end AutoML, MLOps, and governance
- ✓Predictive and generative/agentic AI
- ✓Cloud, hybrid, or self-managed deployment
- ✓Professional services, training, and support
DataRobot is sold via annual enterprise subscription with pricing based on users, data volume, and deployment type; third-party listings cite starting points around $7,500/mo for smaller deployments, with larger enterprise deals significantly higher. A credit-based free trial is available, and discounts exist for academic, government, and nonprofit organizations. No perpetual free tier.
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