About
The vendor describes DataRobot as an agent workforce platform built for outcomes, not pilots. It is designed to replace over 50 AI tools and allows users to launch their first agent in days. The platform supports deployment on-prem, hybrid, and cross-cloud environments. DataRobot offers foundational agents that are easy to infuse into an organization's processes and systems, including business agents with integrations, data models, and UIs for SAP tools. The vendor states it is the exclusive agentic AI partner fully certified to run inside the SAP ecosystem. DataRobot also provides purpose-built agents through service-led delivery, built and managed by DataRobot. The Agent Workforce Platform is described as an end-to-end platform for secure, scalable, production-grade agents, co-engineered with NVIDIA and embedded in NVIDIA Enterprise AI. The platform supports teams that build agents by offering customizable blueprints and built-in integrations, allowing selection of components from LLMs to embeddings, and balancing accuracy, latency, and cost. For teams that operate agents, it orchestrates compute dynamically to deploy agents anywhere, monitors agent quality, and authenticates agents and users. For teams that govern agents, it tracks assets and activities, defines enforceable controls, and uses testing frameworks and automated audit documentation.
Read from datarobot.com on 2026-08-26. We describe what the vendor states; we do not audit it.
Enterprise Readiness
from cataloged dataNo compliance certifications listed
Flexible deployment: Cloud, On-Premise, Hybrid
8 documented integrations
6 documented use cases
Founded 2012 · Series F
Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.
Independently sourced
Pulled directly from regulator filings and platform APIs. No vendor or editorial input.
Enterprise Use Cases
Integrations
How DataRobot MLOps compares
| Tool | Readiness | Pricing | Deployment | Compliance | Integrations |
|---|---|---|---|---|---|
| DataRobot MLOps | 70 · Strong | Enterprise | Cloud, On-Premise, Hybrid | — | 8 |
| Groq | Not scored | Enterprise | Cloud, On-Premise, Hybrid, Self-Hosted | — | 8 |
| Weights & Biases W&B | Not scored | Freemium | Cloud, On-Premise, Hybrid, Self-Hosted | — | 8 |
| Comet ML Platform | 70 · Strong | Enterprise | Cloud, On-Premise, Hybrid, Self-Hosted | — | 8 |
Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.
Frequently Asked Questions
What is DataRobot MLOps used for?
DataRobot MLOps is dataRobot offers an agent workforce platform designed to unify complex enterprise environments and manage the agent lifecycle. It is commonly used for automated model deployment and rollback, continuous model performance monitoring, regulatory compliance and audit trails, and cross-team collaboration on ai projects.
Is DataRobot MLOps free, and how is it priced?
DataRobot MLOps uses enterprise pricing, typically a custom quote based on seats, usage, and requirements. Contact the vendor for a quote.
How can DataRobot MLOps be deployed?
DataRobot MLOps supports Cloud, On-Premise, and Hybrid deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.
What does DataRobot MLOps integrate with?
DataRobot MLOps documents 8 integrations, including AWS SageMaker, Azure ML, Google Cloud AI Platform, Snowflake, Tableau, and Salesforce.
When was DataRobot MLOps founded?
DataRobot MLOps was founded in 2012 and has raised $431M in funding.
Is DataRobot MLOps enterprise-ready?
Based on cataloged data, DataRobot MLOps has an Enterprise Readiness score of 70/100 (Strong tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.
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