DataRobot Agent Workforce Platform

What it does

DataRobot's Agent Workforce Platform takes in agents you build or bring from frameworks such as CrewAI, LangChain and LlamaIndex, along with datasets, vector stores, LLMs and predictive models. It produces deployed agentic applications with monitoring, tracing and lineage, and compliance reporting. Developers ingest code from a local environment through a CLI, while teams manage datasets, tools and models through shared registries.

People use it to prototype agent workflows, compare models and retrieval setups, and then deploy them to production. The platform's distinguishing claims are deployment on any cloud, on-premises, air-gapped or sovereign infrastructure, and governance and observability applied to agents regardless of where they were built. Pre-built components include NVIDIA NIM and NeMo Guardrails.

The platform suits enterprise developers and teams responsible for operating and governing AI across an organization. DataRobot also offers engineering assistance for building production agents. The product page links to a free trial; confirm its duration, included resources and commercial terms before planning a deployment. Operating on your own infrastructure still requires capacity planning and administration, and use of NVIDIA components or external models can introduce separate prerequisites and costs.

What it can do

• Code-first agent workflow development with CLI ingestion from a local environment and prebuilt CrewAI, LangChain and LlamaIndex templates
• Data registry and tool registry for sharing datasets and versioned AI tools across a team
• Vector store support for RAG workflows with embedding models and re-rankers
• Model comparison, LLM-as-a-judge evaluation and guardrail-based safety checks
• Deployment across any cloud, on-premises or hybrid environment with NVIDIA GPU support
• End-to-end tracing, lineage, custom metrics and automated compliance reporting

Works with

• NVIDIA NIM and NeMo microservices
• NeMo Guardrails
• CrewAI templates
• LangChain templates
• LlamaIndex templates

Example workflows

Prototype and promote a LangChain agent

Illustrative example. Input: a locally developed agent using a framework template. Steps: ingest the code with the CLI, debug with instant reruns, compare against other workflows in the playground, then deploy. Output: a deployed agent with tracing and monitoring enabled.

Build a RAG assistant on internal documents

Illustrative example. Input: PDF and text documents. Steps: configure a vector store with chunking and an embedding model, test retrieval quality, and add guard models for hallucination checks. Output: a retrieval pipeline exposed to agents, with traceability from answers back to source chunks.

Before you choose

• Confirm trial limits, licensing and any managed compute or external model charges.
• On-premises and air-gapped deployments require infrastructure and operational planning.
• Framework and NVIDIA component compatibility depends on the chosen configuration.

Listed under

• Coding
• Sandboxes and infrastructure
• Agent development
• Agent governance
• AI agents
• AI governance
• Developers
• Enterprise

Get started

Start from the product page; documentation covers getting started and the CLI.

1. Create an account or start the free trial from the product page.
2. Install the DataRobot CLI and follow the getting started guide to connect a local project.
3. Register datasets, tools and models in the shared registries, then deploy the agent to your chosen environment.

A free trial is offered. Confirm its duration, resources, license terms and deployment costs with DataRobot.

We couldn’t find published prices for DataRobot Agent Workforce Platform. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Agentic AI | DataRobot ↗www.datarobot.com
• DataRobot Product Documentation: DataRobot docs ↗docs.datarobot.com

Company website

datarobot.com: product, pricing and policy pages

YC directory mirror

Batch and company name

Social accounts

Accounts the company links, and its posts on X

Human review

Checked by a person

knowledge_base

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.