DataRobot
AutoML pioneer now selling a governed platform for enterprise AI agents
Overview
DataRobot is a Boston enterprise AI platform that began in automated machine learning and now leads with its Agent Workforce Platform, co-engineered with NVIDIA, for building, running and governing AI agents. It runs in the cloud, on premises or air-gapped, with governance controls built in. Pricing is quoted privately; a 30-day free trial is available.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 14 Oct 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- Agent builder, AutoML and GenAI workbench unlocked
- Choice of LLMs and vector databases
- Low-code interface or code-first CLI
- App templates gallery
- Community support
- SaaS on AWS, hybrid, self-managed or air-gapped
- Evaluation, approval gates, PII and prompt-injection defences
- Observability and full audit trails
- Forward-deployed engineers scoped into the offer
What you can produce with DataRobot
- AI agents built from templates and run in the cloud, on premises or air-gapped
- Automated machine learning: feature engineering, model training, comparison and deployment
- Drift and quality monitoring for deployed models and agents
- Real-time screening of agent inputs and outputs for PII leakage, prompt injection and toxicity
- A central agent registry with approval workflows, versioning and audit documentation
- Self-hosted inference on customer-owned GPUs with per-task model choice
DataRobot's strength is governance that follows the workload: an agent registry with approvals, real-time checks for PII leakage and prompt injection, per-agent identities and audit trails, the same whether it runs in AWS or in an air-gapped data centre. The AutoML core that made its name is still there, and Gartner rated it a Leader in data science platforms for a third year in 2026.
The catch is opacity. There are no list prices, contracts run 12 to 36 months through private offers, and only the 30-day trial is free. Right for regulated enterprises standardising on one AI platform; too much for small teams or one-off projects.
What we found
DataRobot made its name in automated machine learning: upload a table, let the platform engineer features, train and rank dozens of models, then deploy and watch them for drift. The Boston company, whose about page dates it to 2012, still sells that predictive core, but since July 2025 it has led with the Agent Workforce Platform, co-engineered with NVIDIA, for building, running and governing AI agents. The February 2025 purchase of Agnostiq, maker of the open-source Covalent compute orchestrator, fed that shift.
The pitch through 2026 has been control. A July 2026 release extended governance to on-premises, edge and air-gapped sites: a central agent registry with approvals and versioning, real-time checks on every input and output for PII leakage, prompt injection and toxicity, and a separate identity for each agent. In October 2026 DataRobot said the platform can run entirely outside the public cloud with customers' own models. Gartner named it a Leader in its Data Science and Machine Learning Platforms Magic Quadrant in June 2026, for the third year running.
Pricing is not published. The pricing URL now redirects to the homepage, and DataRobot's AWS Marketplace listing is sold only as a private offer on 12-, 24- or 36-month contracts, with usage charges for overages. What can be tried freely is a 30-day trial with full platform access, including the agent builder, AutoML and the generative-AI workbench, backed by community support. The same listing showed 4.3 out of 5 from 57 ratings, most of them imported from G2 and PeerSpot, read 14 October 2026.
DataRobot is private and venture-backed. Its last disclosed equity round, a $300 million Series G in July 2021 led by Altimeter and Tiger Global, valued it at $6.3 billion post-money; no newer valuation has been published by the company. It suits large, regulated organisations that want one governed platform for predictive models and agents. Small teams will find it heavy, and the absence of list prices means budgeting starts with a sales call.
Compiled by RECATOOLS from public sources: vendor documentation and pricing, code repositories and published reporting.
About this listing
This entry was compiled from publicly available data including DataRobot's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with DataRobot unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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