AI Governance

Adopt, scale, and govern AI safely and effectively.

AI Regulations and Compliance

Govern all models. Centralize model management across all generative AI and predictive AI models, regardless of build origin or environment. Deploy LLMs and ML models seamlessly via the UI or API, and leverage built-in generative AI metrics and interventions for OSS LLMs.

• Govern models across all ecosystems: cloud, private cloud, or on edge
• Your choice of DataRobot UI or API
• Central hub for LLMs and ML models
• Deploy any model from DataRobot

Secure AI

Real-time intervention and moderation. Protect your models from vulnerabilities like PII leakage, prompt injection attacks, and inaccurate responses with DataRobot’s world-class guard models. Access a full suite of ready-to-use and customizable techniques from NVIDIA, Microsoft, DataRobot, and more to continuously monitor and address issues in LLM and predictive models.

• Privacy threats: PII leakage, privacy infringement
• Coherence threats: Veering off-topic, hallucinations, off-policy
• Malicious threats: toxicity, bias, disinformation
• Correctness threats: rouge, faithfulness

Standardized Production Pipelines

Reduce deployment complexity. Centralize your predictive and generative AI assets by organizing, deploying, and versioning them from one registry. Automatically serialize your data and feature engineering pipeline, package LLMs, vector databases, and prompting strategies, and deploy a production-ready REST API endpoint with a single click.

• Cloud deployment
• Edge Deployment
• Embed into business applications
• Deploy generative AI applications Automate resource scaling. Cut operational costs with serverless deployments that auto-adjust compute based on workload and scale-to-zero settings for idle times. Accelerate vector database updates, guard performance, and prediction time with autoscaling.

Scale-to-zero option for idle times

Secure your AI pipelines with CI/CD testing. Secure your AI development pipelines with standardized CI/CD testing. Automate testing and authentication, streamline approval workflows, and switch production models seamlessly without service interruptions.

• Enable monitoring without changing code
• Easily change approval workflows and history
• Integrate RAG quality metrics into CI/CD workflow
• Integrate with GitHub Actions Keep your pipelines at peak performance. Ensure high quality across all deployments–databases, generative AI responses, and predictive models. Gain insight into how well AI responses align with your vector database, and leverage DataRobot’s insights for targeted training opportunities.

Generative AI performance insights via Streamlit app

Customize retraining policies for any model, set triggers on any metric including custom Use parameters, network access, and key values to build the ideal model on DataRobot or external infrastructure.

• Automate champion-challenger experiments to ensure best model stays in production