DataRobot is an enterprise-grade agent workforce platform that helps organizations build, operate, and govern AI agents. It provides an end-to-end solution for deploying AI across complex business environments, supporting both predictive and generative AI use cases.

How much does DataRobot cost?

DataRobot offers enterprise-level pricing, which is typically customized based on an organization's specific needs and scale. There are no public pricing tiers available; interested parties are encouraged to request a demo or trial to discuss pricing.

What can DataRobot do?

DataRobot enables teams to build, operate, and govern AI agents. Key capabilities include dynamic compute orchestration, real-time agent monitoring, compliance controls, automated audit documentation, and integrations with various LLMs, data platforms, and business applications. It supports predictive and generative AI modeling and deployment.

Is DataRobot open source?

The DataRobot Agentic AI Platform itself is not open source. While DataRobot offers some open-source products like Covalent and syftr, the core agent workforce platform is a proprietary enterprise solution.

Does DataRobot require coding?

Yes, DataRobot is designed for AI practitioners and developers, supporting code-first use cases through integrated notebooks and developer documentation. While it offers customizable blueprints, a strong technical skill level is expected for building and managing agents on the platform.

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DataRobot

Enterprise-ready

AI Governance

Hybrid deployment

Advanced AI platform

Multi-model support

Meet the only agent workforce platform built for outcomes — not endless pilots.

Last updated: Jun 4, 2026

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Quick Answer

DataRobot is an enterprise agent workforce platform that enables organizations to build, operate, and govern AI agents at scale. It provides tools for agent development, deployment across hybrid environments, and robust governance, supporting both predictive and generative AI. Best for large enterprises and technical teams seeking to implement production-grade AI solutions. Pricing is enterprise-based, requiring a demo or trial.

About DataRobot

DataRobot is an enterprise agent workforce platform designed to help organizations build, operate, and govern AI agents at scale. It unifies complex enterprise environments, supporting both predictive and generative AI solutions. The platform enables teams to rapidly develop, deploy, and manage production-grade AI agents across various cloud, on-premise, and hybrid environments.

What Makes It Unique

DataRobot is the only end-to-end agent workforce platform co-engineered with NVIDIA and co-developed for SAP, offering secure, scalable, and production-grade agents fully validated and embedded in the NVIDIA Enterprise AI and certified to run inside the SAP ecosystem.

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AI-extracted from public sources. May contain errors. Methodology · Are you DataRobot? Claim listing

Use Cases & Target Users

Use Cases

Coding

Data Analysis

Workflow Orchestration

Best For

Making agentic AI work in complex enterprise environments

Building production-grade AI agents for specific business processes

Operating and monitoring AI agents safely and securely

Governing AI agents for compliance and risk management

Developing custom AI applications with integrated web frameworks

Company Size

ENTERPRISE

Fit Score

Complexity

Advanced

Target Team Size

LARGE_TEAM

Target Skill Level

EXPERT

Key Features

Build agents with customizable blueprints and built-in integrations

Select optimal LLMs and embeddings for specific use cases

Dynamically orchestrate compute for agent deployment across edge, cloud, or on-premise environments

Monitor agent quality and mitigate issues in real time for reliable performance

Authenticate agents and users to control access to data and APIs

Track every asset and activity across the agent lifecycle for global visibility

Technical Specifications

API Available

SDK Available

MCP Compatible

Open Source

Team Features

SSO/Enterprise

Webhook Support

Has Demo

Function Calling

Browser Extension

Sandbox Mode

Audit Logs

Free Plan

No Signup

Works Offline

Requires Host App

Framework

MCP Server

IDE Plugin

Inference API

SCIM Provisioning

Developer Access

API

ENTERPRISE

Deployment:

HYBRID

Uses models:14

Compliance, Privacy & Trust

GDPR (as claimed): Yes

SOC 2 (as claimed): No

HIPAA (as claimed): No

Trains on user data: No

Pros

+Unifies complex enterprise AI environments
+Designed to replace numerous disparate AI tools
+Enables rapid agent deployment in days, not quarters
+Supports flexible deployment across on-premise, hybrid, and cross-cloud infrastructures
+Co-engineered with NVIDIA for optimized AI infrastructure
+Co-developed for SAP, offering certified integration within the SAP ecosystem

Limitations

-Premium pricing may be expensive for small businesses.
-Requires quality data to achieve optimal results.
-The software can be challenging for new users, with a potential steep learning curve.
-May lack full flexibility for manual model tweaks by experienced data scientists.
-Model interpretability may not always be transparent.

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Base Models

Automated Time SeriesMLOpsPredictive AIGenerative AI

Uses Models

TitanClaude 2Claude 3 HaikuClaude 3 Sonnet