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DataRobot

DataRobot unifies predictive and generative AI to build, deploy, and govern secure, enterprise-ready AI with cloud integrations.

Machine Learning Updated 1 hour ago
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DataRobot

DataRobot's Top Features

Unified Intelligence Layer to manage generative and predictive AI assets across clouds and hybrid environments
Native integrations with Google BigQuery, Snowflake, Databricks, and AzureML for in-place data and model operations
Single-tenant SaaS on AWS or Azure and self-managed VPC options with HIPAA compliance
Centralized AI governance with real-time observability, intervention, and LLM moderation for RAG workflows
Advanced vector database management with versioning, activity logs, and performance benchmarks
Code-first custom retraining with automated triggers and challenger testing
Support for both generative and predictive AI, including LLMs, time series, and forecasting
End-to-end AI application development, deployment, and hosting with integrations to core business apps
Flexible infrastructure for on-prem, cloud, or hybrid scaling with support for GPUs, containers, and Nutanix
Enterprise-grade security, data privacy, and compliance in a secure cloud-native architecture

Frequently asked questions about DataRobot

DataRobot is an AI platform that delivers trusted AI technology, automation, and enablement services to help enterprises build, deploy, manage, and scale machine learning models for better business outcomes.

DataRobot offers an enterprise AI platform for predictive and generative AI, lifecycle management, automated machine learning, AI governance, and industry solutions that integrate into core business processes.

DataRobot provides software and automation for the entire AI lifecycle—model development, deployment, monitoring, and explainability—plus implementation, training, and support services to ensure adoption and value realization.

DataRobot delivers end-to-end automation, rapid deployment, scalability, and strong AI governance, integrating predictive and generative AI with robust security and usability for both technical and business users.

DataRobot serves organizations across sectors such as automotive, finance, healthcare, and more, helping teams solve diverse challenges and accelerate decision-making with AI.

Customers report faster model deployment, shorter time from experimentation to production, significant cost and time savings, improved explainability, and optimized complex tasks like pricing far more efficiently than manual coding.

DataRobot provides centralized governance, security, and monitoring with real-time observability and controls for models and LLMs, helping minimize risk and support compliance and transparency.

Yes. DataRobot connects to major data warehouses, cloud platforms (including Microsoft Azure and Google Cloud), and BI tools via native integrations and APIs to fit into existing tech stacks.

Yes. DataRobot collaborates with a network of cloud, technology, and services partners and participates in partner programs to deliver impactful AI solutions.

DataRobot has released industry-first generative AI tooling, secure AI outcome features, and specialized applications and agents focused on security, scalability, and enterprise readiness.

DataRobot's pricing

Custom

$0/custom

  • Quotation-based pricing tailored to organization size, industry, use cases, data volumes, and deployment preferences
  • No publicly listed plan tiers or prices; engagement is enterprise-focused
  • No stated free trial or money-back guarantee

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Category
Machine Learning
Tags
enterprise AI
predictive AI
generative AI
data preparation
model development
deployment
governance
machine learning
LLM-powered applications
security

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