DataRobot

What if your AI could not only predict, but also act and govern itself within your business operations?

Automated product research from public website content. No hands-on app test is recorded for this profile. Pricing source and check date are shown below where available.

Research fitSource-based assessment: DataRobot provides a robust, enterprise-grade platform for developing and governing agentic AI, focusing on actionable intelligence and operational integration for complex business needs.

DataRobot provides an enterprise AI suite that enables businesses to develop, deliver, and govern custom agentic AI applications. It focuses on integrating AI into core business processes to build, operate, and govern AI at scale, offering solutions for generative AI, predictive AI, AI governance, and AI observability.

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Key Features:

Agentic AI Platform for building and deploying AI agents.
Generative AI capabilities for content creation and dynamic modeling.
Predictive AI for forecasting and data analysis.
Comprehensive AI Governance and Observability for managing AI lifecycle.
Solutions tailored for specific industries like Financial Services, Manufacturing, and Government.

Pros

Enterprise AI Leaders seeking to implement and govern AI at scale.
AI Practitioners building and deploying custom AI applications.
Organizations in regulated industries requiring robust AI governance and observability.

Cons

Requires significant technical expertise for full utilization.
Primarily designed for large enterprises, potentially complex for smaller teams.
Pricing model is likely enterprise-focused, not transparently listed.

Pricing

enterpriseFree tier

Trial:Try for free

Categories:

AI Infrastructure Business & Enterprise Data & Analytics

Tags:

agentic ai generative ai predictive ai ai governance ai observability enterprise ai mlops machine learning

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Quick Decision

Try if: You are a large enterprise in a regulated industry looking for a comprehensive platform to build, deploy, and govern advanced AI agents that can take action within your business processes.

Skip if: You are a small business or individual seeking simple, low-cost AI tools, or if you lack the internal resources and expertise to manage a complex enterprise AI platform.

Not for: Individuals or small businesses looking for simple, off-the-shelf AI tools.; Users without a strong understanding of AI/ML concepts and enterprise IT environments.

Trust Signals

Founded
2012
Team Size
large

Compliance

Master Subscription AgreementSupport PolicyAvailability PolicyInformation Security PolicyData Processing PolicyAI Policy

Notable Customers

Organizations across manufacturing, oil and gas, public sector, life sciences, insurance, and financial services

Tech Details

Platforms

web

Integrations

NVIDIADellNebiusSAP

Open Source

Yes

Support

Channels

documentationsupport portalemail

Company

Name
DataRobot
Location
US (with Japan presence)

Founded in 2012, DataRobot has spent more than a decade at the frontier of applied AI — from pioneering AutoML and MLOps to building the only complete platform to build, operate, and govern agentic AI at enterprise scale.

FAQ

What is 'Agentic AI' as offered by DataRobot?

Agentic AI refers to AI systems that can not only analyze data and make predictions but also take autonomous actions and govern themselves within business processes. DataRobot's platform helps enterprises build, operate, and govern these types of AI agents.

Which industries can benefit from DataRobot's solutions?

DataRobot offers solutions tailored for various industries including Government, Oil and Gas, Manufacturing, Life Sciences, and Financial Services, addressing specific needs like supply chain optimization, customer service, financial planning, sales & marketing, and credit risk management.

Does DataRobot offer a free trial or free tier for its platform?

Yes, DataRobot offers a 'Try for free' option, indicating a free trial or a free tier for users to explore its capabilities.

Use Cases

Enterprise AI Leaders seeking to implement and govern AI at scale.
AI Practitioners building and deploying custom AI applications.
Organizations in regulated industries requiring robust AI governance and observability.