DataRobot
The DataRobot AI Platform is an open and flexible tool designed to meet the AI needs of your team. It brings together generative and predic...
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What is DataRobot?
DataRobot is the industry's only unified Agent Workforce Platform built for enterprise AI outcomes, not endless pilots. It enables organizations to build, operate, and govern secure, scalable, production-grade AI agents that go beyond demos and deliver real business value. The platform replaces 50+ AI tools with one comprehensive solution for the entire agent lifecycle.
Key features include foundational agents that are easy to stand up and infuse into organizational processes, business agents with integrations for SAP ecosystems (DataRobot is the exclusive agentic AI partner fully certified to run inside SAP), and purpose-built agents that are service-led and managed by DataRobot. The platform supports building enterprise-grade agents with customizable blueprints and built-in integrations, selecting optimal LLMs and embeddings for specific data and use cases, and orchestrating compute dynamically to deploy agents anywhere—edge, cloud, or on-prem.
DataRobot is designed for enterprise data science teams, AI/ML engineers, IT organizations, and business teams that need to scale AI adoption. It serves organizations like BCG, Boston Children's Hospital, FordDirect, Old Mutual, Razorpay, and the U.S. Army. The platform is co-engineered with NVIDIA and fully validated in NVIDIA Enterprise AI, making it suitable for teams that build agents, teams that operate agents, and teams that govern agents with enterprise compliance requirements.
DataRobot pricing
Pricing model: Free
DataRobot does not publish standard list pricing and uses a custom quote model based on deployment architecture, user count, compute resources, and expected model volume. Most enterprise agreements are annual or multi-year subscriptions. The median buyer pays $212,021 per year, with prices ranging from $24,000 to $230,400. Small deployments (10-25 users, cloud-hosted) typically range from $100,000-$250,000 annually. Mid-market deployments (25-75 users) range from $250,000-$600,000 annually. Enterprise deployments (75+ users) often exceed $600,000 and can reach low seven figures. DataRobot offers a one-time 14-day free self-service SaaS trial that allows full exploration of AI/ML/GenAI capabilities without financial commitment. Pricing components include platform license fees (based on user count and type), compute and infrastructure costs, professional services (quoted separately), and support/maintenance (15-20% of license value annually).
DataRobot pros
- Pioneered AutoML and Automated Time Series technology
- Only end-to-end agent workforce platform for production-grade agents
- Launch first agent in days, not quarters
- Replaces 50+ AI tools with one unified platform
- Runs anywhere: on-prem, hybrid, and cross-cloud support
- Exclusive agentic AI partner fully certified for SAP ecosystem
- Co-engineered with NVIDIA and embedded in NVIDIA Enterprise AI
- Built-in governance for every asset in the AI pipeline
- Real-time agent quality monitoring and issue mitigation
- Customizable blueprints and built-in integrations for faster building
- Multiyear leader in Gartner Magic Quadrant for DSML Platforms
- Customers' Choice recognition in DSML Platforms
- Documented $60M-$200M ROI for enterprise customers
- Supports both generative AI and predictive AI in one platform
- One-click deployments to serverless or dedicated prediction servers
- Track every asset and activity across the agent lifecycle
- Testing frameworks and automated audit documentation for compliance
- 40+ modeling techniques specific to each problem type
DataRobot cons
- Enterprise pricing only—no published list pricing available
- No free tier, only 14-day self-service trial
- Complicated commercials that regularly change year to year
- High cost with median buyer paying $212,021 per year
- Not as mature for unstructured data like images and audio
- Cannot make changes to data after uploading (no feature calculations)
- Exporting data from the GUI is not possible
- Error notification can be challenging to identify root causes
- Requires users to understand machine learning fundamentals
- Professional services add 20-40% to first-year contract value
- Compute and prediction overages can add 15-30% to annual costs
- Integration challenges with unique industry algorithms
Frequently asked questions about DataRobot
What is DataRobot?
DataRobot is the only unified Agent Workforce Platform built for enterprise AI outcomes. It delivers industry-leading AI applications and platform that maximize impact and minimize risk for business. Since 2012, DataRobot has pioneered AutoML, Automated Time Series, MLOps, and generative AI. More than 1,000 organizations worldwide rely on DataRobot for AI that makes sense for their business.
Does DataRobot have a free tier?
DataRobot does not have a permanent free tier. However, it offers a one-time, 14-day self-service SaaS trial that allows organizations to fully explore the platform's enhanced capabilities and test functionality in AI/ML/GenAI projects without any financial commitment. Users can sign up with email/password or social login (Google/GitHub) and manage organizations and users without speaking to a representative.
What deployment options does DataRobot support?
DataRobot is available on managed SaaS, virtual private cloud, or self-managed infrastructure. It runs anywhere: on-premises, hybrid, and cross-cloud. DataRobot Cloud is the fully managed SaaS offering where DataRobot hosts infrastructure. Self-Managed allows organizations to run the platform within their own infrastructure for strict data residency, security, or compliance requirements. Hybrid deployments where some workloads run in DataRobot's cloud and others on-premises are also supported.
What is the difference between generative AI and predictive AI in DataRobot?
Inside DataRobot there is very little distinction between generative and predictive AI. Predictive AI includes time series, classification, regression, and unsupervised machine learning such as anomaly detection and clustering. Generative AI includes text and image generation using foundational models. DataRobot's generative AI offering builds off the predictive AI experience to enable users to bring favorite libraries, choose LLMs, and integrate third-party tools with built-in governance.
What industries or companies use DataRobot?
More than 1,000 organizations worldwide use DataRobot, including BCG, Boston Children's Hospital, FordDirect, Old Mutual, Razorpay, and the U.S. Army. Customers span industries including consumer tech (world's largest consumer tech brand with $60M ROI across 50+ use cases), energy (global energy innovator with $200M ROI across 600+ use cases), and finance (top 5 global bank with $70M ROI across 40+ use cases from capital markets to wealth management).
How does DataRobot help with MLOps and model governance?
DataRobot provides comprehensive MLOps capabilities including model monitoring of service health, data drift, and accuracy. Use Registry to create deployment-ready model packages and generate compliance documentation. Use Console as a centralized hub for observing deployed model performance with automated intervention and notification options. Track every asset and activity across the agent lifecycle, define enforceable controls for access and approvals, and use testing frameworks with automated audit documentation to detect behavior issues.
What is DataRobot's relationship with SAP and NVIDIA?
DataRobot is the exclusive agentic AI partner fully certified to run inside the SAP ecosystem, with business agents co-developed for SAP that include integrations, data models, and UIs for easy agent building. DataRobot's Agent Workforce Platform is also co-engineered with NVIDIA and fully validated and embedded in the NVIDIA Enterprise AI, providing ideal solutions for deploying AI agents with essential monitoring, guardrailing, and orchestration capabilities.
What ROI do customers typically see with DataRobot?
Documented customer ROI includes $60M ROI for the world's largest consumer tech brand with 50+ AI use cases covering full supply chain, $200M ROI for a global energy innovator with 600+ AI use cases from stuck pipe detection to well performance, and $70M ROI for a top 5 global bank with 40+ AI use cases firm-wide from capital markets to wealth management. Customers report ability to iterate quickly, try new things, put them into production fast, and adjust based on real-world feedback.
What are the main pricing drivers for DataRobot?
DataRobot pricing is driven by user count and user types (data scientists priced higher than business users), deployment model (cloud vs self-managed), prediction volume and compute usage, model production and deployment scale, professional services (20-40% of first-year value), and support tier. Cloud deployments have consumption-based elements tied to prediction volume, while self-managed has higher upfront costs but more predictable licensing. Compute and prediction overages can add 15-30% to annual costs.
What recognition has DataRobot received from industry analysts?
DataRobot is a multiyear leader in the Gartner Magic Quadrant for DSML Platforms and is recognized as a Customers' Choice. The company is recognized in MarketScapes for AI Governance and ML Operations. DataRobot has been featured in the Forbes Cloud 100 and AI 50 across multiple years and named to Fortune's Future 50 list for AI innovation.