DataRobot
Global enterprises in regulated industries such as manufacturing, oil and gas, public sector, life sciences, insurance, and financial services that need to deploy and govern AI agents at scale.
Overview
DataRobot is an enterprise AI platform company founded in 2012 and headquartered in Boston, USA. The company provides a unified agent workforce platform that enables organizations to build, operate, and govern AI at scale, spanning agentic AI, generative AI, predictive AI, and AI governance. DataRobot serves global enterprises in regulated industries, including manufacturing, oil and gas, public sector, life sciences, insurance, and financial services. The company has raised a total of $1.05B in funding over 12 rounds, with a $300M Series G round valuing it at $6.3 billion post-money. DataRobot is recognized as a Leader in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms for three consecutive years.
What it does
DataRobot provides an end-to-end agent workforce platform that supports the full lifecycle of enterprise AI agents. It allows teams to build agents using customizable blueprints and built-in integrations, select from LLMs and embeddings, and balance accuracy, latency, and cost. The platform enables dynamic compute orchestration for deployment across edge, cloud, or on-premises environments, with real-time monitoring and authentication controls. It also offers governance features to track assets and activities, enforce access and approval controls, and use testing frameworks and automated audit documentation to ensure compliance. DataRobot also offers agent solutions co-developed with SAP and co-engineered with NVIDIA, as well as service-led delivery of purpose-built agents.
Key features
- Agentic AI platform for building, operating, and governing agents
- Customizable blueprints and built-in integrations for agent development
- Dynamic compute orchestration for deployment across edge, cloud, or on-prem
- Real-time monitoring and quality mitigation for deployed agents
- Authentication and access control for data and APIs
- Governance with asset tracking, enforceable controls, and audit documentation
- Co-developed agent solutions for SAP ecosystem
- Co-engineered with NVIDIA Enterprise AI
Use cases
- Supply chain operations: procurement orchestration, predictive maintenance, logistics route optimization, quality control, warehouse labor forecasting, inventory rebalancing
- Customer service: smart resolution orchestration, intelligent refund processing, proactive engagement, agent coaching, self-service expansion, staffing optimization
- Financial planning and analysis: autonomous financial modeling, data synthesis, automated reporting, scenario modeling
- Government: identifying high-risk contracts (e.g., U.S. Army reallocating $2.2B to mission-critical projects)
- Oil and gas: autonomous hazardous inspections (e.g., Chevron)
- Telecom: scaling AI with a secure AI factory (e.g., e& UAE)
Pricing
Pricing is not publicly disclosed on the website. Third-party sources indicate enterprise pricing starts at approximately $100,000 per year, with mid-market deployments ranging from $250K–$600K annually. A $500 per month startup plan is mentioned on AWS Marketplace.
View current pricingPricing is gathered from the company's public pages and may change. Check the vendor's site before buying.
Pros and cons
Strengths
- Recognized as a Leader in Gartner Magic Quadrant for Data Science and Machine Learning Platforms for three consecutive years
- Comprehensive platform covering build, operate, and govern phases of agent lifecycle
- Deployment flexibility across on-prem, hybrid, and cross-cloud environments
- Co-engineered with NVIDIA and co-developed with SAP for enterprise integration
- Trusted by large enterprises across multiple regulated industries
Limitations
- Pricing is not publicly disclosed; enterprise plans are customized and typically require contacting sales
- No free tier or self-serve option; platform is enterprise-focused
- May require significant investment and technical setup for deployment
What sets it apart
- Only agent workforce platform built for outcomes, not pilots
- Exclusive agentic AI partner fully certified to run inside the SAP ecosystem
- Fully validated and embedded in NVIDIA Enterprise AI
- Deliberately designed to unify complex enterprise environments with on-prem, hybrid, and cross-cloud support
Ecosystem
Integrations
Notable customers
Frequently asked questions
What does DataRobot do?
DataRobot provides an enterprise AI platform for building, operating, and governing AI agents at scale, covering agentic AI, generative AI, predictive AI, and AI governance.
Which industries does DataRobot serve?
DataRobot serves global enterprises in regulated industries, including manufacturing, oil and gas, public sector, life sciences, insurance, and financial services.
Can DataRobot be deployed on-premises?
Yes, DataRobot supports deployment anywhere, including on-prem, hybrid, and cross-cloud environments.
Does DataRobot integrate with SAP?
Yes, DataRobot is the exclusive agentic AI partner fully certified to run inside the SAP ecosystem, with co-developed business agents for SAP tools.
What is DataRobot's pricing?
DataRobot does not publicly list pricing. Third-party sources indicate enterprise plans start around $100,000 per year, with mid-market deployments ranging from $250K–$600K annually.
Sources
This profile was compiled from the company's own pages and public web research.
- https://www.datarobot.com/
- https://www.datarobot.com/
- https://www.datarobot.com/why-datarobot/customers/
- https://www.datarobot.com/product/ai-apps/
- https://www.datarobot.com/about-us/
Last researched August 11, 2026.
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