D

DataRobot

by DataRobot, Inc.

Enterprise PlatformData & AnalyticsAI Agents & OrchestrationGovernance & Security

The enterprise AI platform to build, operate, and govern AI agents and applications at scale.

Subscription · Contact for pricing·Added June 21, 2026·Updated June 21, 2026
Share:

THE DAILY BRIEF

DataRobot

by DataRobot, Inc.

Enterprise PlatformData & AnalyticsAI Agents & OrchestrationGovernance & Security

The enterprise AI platform to build, operate, and govern AI agents and applications at scale.

Subscription · Contact for pricing

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)
  • MLOps & Model Management
  • AI Governance
  • Generative & Agentic AI
  • Time Series & Predictive Forecasting
  • Cloud & Data Platform Integrations

Capabilities

text generation
image generation
video generation
code generation
workflow automation
api access
audio generation
fine tuning
agent orchestration

Use Cases

  • Demand and supply-chain forecasting
  • Financial process automation
  • Governed enterprise AI agents

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

Market Analysis

Enterprise-gradeGartner Magic Quadrant LeaderAutoML category creatorAgentic AI and governance focus
User Rating4.6/ 5

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.

THE DAILY BRIEF

Enterprise AI insights for technology and business leaders, twice weekly.

thedailybrief.com

Subscribe at thedailybrief.com/subscribe for weekly AI insights delivered to your inbox.

LinkedIn: linkedin.com/in/rberi  |  X: x.com/rajeshberi

© 2026 Rajesh Beri. All rights reserved.

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

text generation
image generation
video generation
code generation
workflow automation
api access
audio generation
fine tuning
agent orchestration

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

SDK Available
SDK:PythonJavaScalaR

Deployment

On-Premise

Market & Ratings

Estimated Customers

1,000+ organizations worldwide, including roughly a third of the Fortune 50

Market Analysis

Enterprise-gradeGartner Magic Quadrant LeaderAutoML category creatorAgentic AI and governance focus
User Rating4.6/ 5

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 Available

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.

Newsletter

Stay Ahead of the Curve

Weekly enterprise AI insights for technology leaders. No spam, no vendor pitches—unsubscribe anytime.

Subscribe