# paxata-datarobot

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/paxata-datarobot
- **Dataset:** https://optimly.ai/brand/paxata-datarobot.json
- **Markdown:** https://optimly.ai/brand/paxata-datarobot/llms.txt
- **Official website:** https://datarobot.com
- **Slug:** paxata-datarobot
- **Categories:** ai-machine-learning

## Overview

- **Tagline:** DataRobot is highlighted as the only agent workforce platform built for outcomes, not endless pilots. It replaces 50+ AI tools, allows launching agents in days, not quarters, and offers deployment flexibility (on-prem, hybrid, cross-cloud). It is designed to unify complex enterprise environments and is recognized as a leader in Data Science and Machine Learning Platforms by Gartner.
Source: Brand's website (https://datarobot.com) · 2026-10-04

- **Description:** DataRobot is an agent workforce platform designed to help enterprises implement and scale agentic AI solutions. It unifies complex enterprise environments by providing foundational and purpose-built agents, replacing multiple AI tools, and enabling rapid deployment and governance of AI agents across various infrastructures (on-prem, hybrid, cross-cloud). The platform supports the entire agent lifecycle, from building and operating to governing AI solutions for secure, scalable, and production-grade performance.
Source: Brand's website (https://datarobot.com) · 2026-10-04

## Offerings

- **Core capabilities:**
  - Agent Workforce Platform
  - Foundational Agents
  - Business Agents (co-developed for SAP)
  - Purpose-built Agents (co-engineered with NVIDIA)
Source: Brand's website (https://datarobot.com) · 2026-10-04

- **Pricing:** Not specified in the provided context.
Source: Brand's website (https://datarobot.com) · 2026-10-04

## Audience

- **Target industry:** Enterprises across various industries seeking to implement and manage agentic AI, including IT teams, data scientists, and operational teams focused on building, operating, and governing AI agents. Specific examples include consumer tech, energy, and financial services.
Source: Brand's website (https://datarobot.com) · 2026-10-04

Page last updated 2026-10-17.