Rankings/DataRobot
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DataRobot

NativePrivateUpdated November 3, 2026

Enterprise AI/ML platform (AutoML, MLOps, agentic AI)

CEO
Debanjan Saha
Founded
2012
HQ
Boston, United States
Total Funding
$1.2B
Employees
501-1000
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AI Platforms
53.2Bluescore
Momentum—
Market MapLocked
Rank change (7d)-17

Products & Offerings

DataRobot Agent Workforce Platform

Platform built jointly with NVIDIA for building, deploying and governing enterprise AI agents across cloud, on-premises, edge and sovereign environments.

PlatformEnterpriseFlagship2025

DataRobot AI Platform (Predictive AI / AutoML)

DataRobot's core automated machine learning platform for building, testing and deploying predictive models at enterprise scale.

PlatformEnterpriseCore Platform

DataRobot MLOps and AI Governance

Monitoring, model registry, policy and cost-control tools for governing predictive models, generative models and AI agents in production.

EnterpriseEnterpriseLive

DataRobot Generative AI

Tools for building, comparing and deploying LLM and retrieval-augmented generation (RAG) apps, including vector databases and bring-your-own embedding models.

PlatformEnterpriseLive2023

DataRobot Agent Assist, CLI and MCP Server

Developer tools, including an AI assistant, a command-line interface and an MCP server, for designing, coding and deploying agents on DataRobot.

Developer ToolDeveloperEmerging2026

Executive Summary

What they do

  • Sells an enterprise platform for building, deploying and governing predictive and agentic AI
  • Agent Workforce Platform built jointly with NVIDIA, with NIM and NeMo microservices included
  • Runs in cloud, on-premises, hybrid, air-gapped and sovereign environments

Why it matters

  • Named a Leader again in Gartner's 2026 Magic Quadrant for data science and ML platforms
  • Validated on infrastructure from NVIDIA, Dell and Nebius, and an SAP Endorsed App
  • Combines a decade of AutoML and MLOps with governance for AI agents

Best fit

  • Regulated enterprises that need governed AI on infrastructure they control
  • Companies already running DataRobot predictive models that now want to add AI agents
  • Teams standardizing on NVIDIA or Dell AI Factory hardware for on-premises AI

Watch-outs

  • Agent platform is newer and less proven than the core AutoML business
  • Private company with no disclosed primary funding round since 2021
  • Strong competition from Databricks, Dataiku and the hyperscaler AI platforms

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Analyst VerdictEvaluate

DataRobot is an established, Gartner-recognized enterprise AI platform. It has moved hard into governed agentic AI through a joint NVIDIA stack and partnerships with Dell, Nebius and SAP, plus newly announced projects with Chevron and Aon. It merits a structured evaluation, especially for regulated or sovereignty-sensitive buyers who need AI on infrastructure they control. Test the newer agent tooling carefully against Databricks, Dataiku and the hyperscaler platforms, and do commercial and viability due diligence given the company's private-market history.

Signal Provenance

Latest observation date and source for each signal category

Signal CategoryLast UpdatedSource
Funding Signals
Last funding round, Funding stage
Oct 31, 2026Montclare research agents
Hiring Velocity
Headcount, Headcount growth
Nov 3, 2026Montclare research agents
Technical Output
Research papers, GitHub activity
Nov 1, 2026Montclare research agents
News Sentiment
News mentions, News sentiment
Nov 2, 2026Montclare research agents
Partnership Signals
Enterprise partnerships, Distribution partners
NeverMontclare research agents
Revenue Indicators
ARR estimate, Revenue growth
Nov 3, 2026Montclare research agents
Leadership Signals
CEO tenure, Founder-led
Nov 3, 2026Montclare research agents
Competitive Position
Category rank, Market share
Nov 3, 2026Montclare research agents

Why this Bluescore?

6 dimensions, each scored 0–10 against all — companies. Each adds its weight × score to the Bluescore — see methodology

D1 · Business Model & Revenue (21%)
5.0
+10.6 of 21 pts · Top 25%
D2 · Product Depth (21%)
5.2
+11.0 of 21 pts · 63th pct
D3 · Data & Model Moat (19%)
5.6
+10.6 of 19 pts · Top 25%
D4 · Talent & Research (16%)
5.4
+8.7 of 16 pts · 66th pct
D5 · Customer Adoption (13%)
4.5
+5.9 of 13 pts · 14th pct
D6 · Investment Momentum (10%)
6.6
+6.6 of 10 pts · Top 16%

Risks

Agent Workforce Platform launched in 2025; there are few large production agent deployments to point to
Medium
Hyperscalers and Databricks bundle similar ML and agent tooling into existing contracts
High
No disclosed primary funding round since the 2021 Series G at a $6.3B valuation
Medium
Heavy reliance on the NVIDIA stack may limit flexibility on hardware and models
Low
2022 leadership turmoil and layoffs show past execution and retention instability
Low
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