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Launched 2012 · Verified Oct 16, 2026

DataRobot

Verified Oct 16, 2026 Active
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Enterprise platform for building, deploying and governing predictive models and AI agents, on cloud or on-prem

automated mlmodel monitoringmlopsmodel governanceContact sales

Listed on EffectHub ·

Web · API
Screenshot of the DataRobot website
#540
datarobot.com as we captured it — our own screenshot, not the vendor’s press image.

Pricing

Pricing model
Contact sales

No prices are published: the pricing page offers only a demo request and a 30-day free trial with 'full platform access, no contract, no commitment'; plans are quoted by sales, and the site gives no consumption or per-seat rates.

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Overview

About DataRobot

DataRobot is an enterprise platform that automates model selection, training and deployment for predictive work, adds a generative-AI workbench and agent builder for retrieval and agentic applications, and wraps both in governance and observability so production models and agents are monitored for drift, cost and compliance. It runs as SaaS, on-premises, hybrid or across clouds, ships REST, Python and R clients plus a CLI alongside the UI, and co-develops business agents with SAP. Founded in 2012, the company sells by quote after a demo or a 30-day full-access trial; named reference customers include NetApp and Norfolk Iron & Metal, with partners NVIDIA, Dell and Nebius.

Platforms
Web · API
API
Yes
Last verified
Oct 16, 2026

Verified sources

  • Home page: 'agent workforce platform' with Agentic, Generative and Predictive AI, AI Governance and Observability, open-source syftr and Covalent, deployment on-prem, hybrid, multi-cloud and edge, partners NVIDIA, Dell, Nebius and SAP, customers NetApp and Norfolk Iron & Metal; footer © 2026 DataRobot, Inc (15 October 2026)datarobot.com ↗
  • Pricing page shows no plans or prices, only 'Try DataRobot' and 'Request a Demo' (15 October 2026)datarobot.com ↗
  • Trial page: '30-DAY FREE TRIAL', 'Full platform access. No contract. No commitment.', agent builder, AutoML, GenAI workbench, CLI and app templates included (15 October 2026)datarobot.com ↗
  • About page: 'Founded in 2012, DataRobot has spent more than a decade at the frontier of applied AI' (15 October 2026)datarobot.com ↗
  • API documentation: 'supports REST, Python, and R APIs as a programmatic alternative to the UI', with Prediction and Batch Prediction APIs (15 October 2026)docs.datarobot.com ↗
Fact check

Is DataRobot legit?

We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.

Domain registered
Jun 28, 2004 (22 years ago)Registry record (RDAP), registrar GoDaddy.com, LLC, looked up Sep 6, 2026
TLS certificate
Issued by Let's Encrypt, valid until Dec 25, 2026Seen in our own connection to the site on Oct 16, 2026
Last checked
Oct 16, 2026The site answered
On the market since
2012The vendor's own material, read by us
Operated by
DataRobot, Inc., United StatesOur research, card verified Oct 15, 2026

How we collect these records

Editorial verdict

Pros & cons of DataRobot

medium confidence

One of the few platforms where the governance and monitoring layer is as developed as the model-building layer, which is why regulated enterprises keep buying it even as cheaper AutoML and notebook-first rivals multiply. The marketing has pivoted hard toward agents; the predictive core is still there, but you will be buying an enterprise contract, not a tool.

Pros

  • AutoML plus a generative-AI workbench and agent builder on one platform
  • Governance, observability and approval workflows built in rather than bolted on
  • REST, Python and R clients and a CLI for code-first teams
  • Deploys SaaS, on-prem, hybrid, multi-cloud or at the edge
  • 30-day full-access trial without a contract

Cons

  • No public pricing anywhere on the site; quotes only
  • Positioning has swung from AutoML to MLOps to 'agent workforce', so the product surface is wide and the learning curve steep
  • Enterprise-only commercial model with no self-serve tier
  • Reference customers on the home page are mostly anonymised

Best for

  • Regulated enterprises that need audit trails, approval workflows and drift monitoring on every model
  • Teams running predictive and generative workloads side by side under one governance layer
  • Organisations that must deploy on-prem or air-gapped rather than in a vendor cloud

Not for

  • Startups and individual data scientists who need a price list and a self-serve seat
  • Teams already standardised on Databricks or SageMaker notebooks who want a lighter add-on

Watch out: The 30-day trial gives full platform access but the price only appears in a sales quote; agree the seat, compute and deployment model before the trial ends or the evaluation cannot be budgeted.

#1inMLOps & Experiment Tracking· of 7 tools, ranked by rating and popularity

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