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DataRobot Unveils AI Observability with Real-Time Intervention for Generative AI

DataRobot, a leading enterprise AI platform, has announced the launch of groundbreaking AI observability functionality with real-time intervention for generative AI solutions.

DataRobot, a leading enterprise AI platform, has announced the launch of groundbreaking AI observability functionality with real-time intervention for generative AI solutions. This latest release, available across all environments including cloud, on-premise, and hybrid, equips AI leaders and teams with the tools necessary to confidently build enterprise-grade applications, manage risk, and deliver tangible business results.

According to Venky Veeraraghavan, Chief Product Officer at DataRobot, “Lack of visibility and risk are significant obstacles to reaching real business value from AI. We’re revolutionizing AI observability with real-time intervention across diverse AI assets and environments, so leaders can safeguard projects, up-level oversight, and empower teams.”

The latest announcement brings AI observability for any AI asset and environment into the DataRobot AI Platform, delivering a range of capabilities including:

Cross-Environment AI Observability: Providing full oversight across environments to reduce risk across the entire AI landscape with unified governance for all predictive and generative AI assets.

Real-Time Generative AI Intervention and Moderation: Building a multilayered defense to safeguard AI applications with customized build, intervention, and moderation workflows. This includes leveraging a rich library of pre-built and configurable guards to ensure accuracy, prevent issues such as prompt injections and toxicity, detect personally identifiable information (PII), and mitigate hallucinations.

Generative AI Alerts and Diagnostics: Offering control and flexibility with customizable alert and notification policies, visual troubleshooting of problems, traceback answers, and robust multi-language diagnostics with insights for data quality checks, topic drift, and more.

Amanda Saunders, Director of Enterprise Generative AI Product Marketing at NVIDIA, expressed, “Today’s AI leaders are seeking to implement generative AI accurately, safely, and at scale. DataRobot’s integrations with NVIDIA software provide enterprises with purpose-built generative AI solutions to speed successful deployments.”

Additionally, this release introduces best-in-class evaluation, testing, and open-source Large Language Model (LLM) support capabilities, including:

Enterprise-Grade Open Source LLM Hosting: Enabling the utilization of any open-source foundational model, such as LLaMa, Hugging Face, Falcon, and Mistral, with DataRobot’s built-in LLM security and resources.

LLM Evaluations, Testing, and Metrics: Enhancing application quality, assessing LLM performance, and automating testing with groundbreaking out-of-the-box synthetic test data creation, evaluation metrics, and quality benchmarks.

Advanced RAG Experimentation: Evaluating different embedding methods, chunking strategies, and vector databases to identify the best RAG (Retriever, Answerer, and Generator) strategy for each use case.

Ritu Jyoti, Group Vice President, Worldwide Artificial Intelligence and Automation Research Practice Global AI Research Lead at IDC, commented, “DataRobot is providing the requisite tools an enterprise needs to get started with generative AI quickly and with confidence. AI leaders need to be prepared for a new normal where AI exists in multiple environments and locations. The work DataRobot is doing with AI observability sets the foundation for AI leaders and teams to thrive.”

This release represents the latest milestone in DataRobot’s significant investment in generative AI for the enterprise. Over the last 12 months, DataRobot introduced industry-first generative AI functionality, launched the DataRobot Generative AI Catalyst Program to jumpstart high-priority use cases, and announced new and expanded collaborations with global leaders like NVIDIA and Google Cloud to supercharge AI solutions with world-class performance and security.

All functionality announced today is available on cloud, on-premise, and hybrid environments. To learn more about the latest updates to the DataRobot AI Platform, visit their website.

About DataRobot

DataRobot is the leader in value-driven AI, empowering organizations to accelerate AI from idea to impact. With over a decade at the forefront of AI innovation, DataRobot provides enterprise AI solutions that allow organizations to quickly build, securely operate, and confidently govern their entire AI landscape from a single, unified experience. Trusted by organizations across industries and geographies, DataRobot helps solve their biggest challenges with AI, leveraging generative and predictive capabilities today while providing the flexibility to adapt to the innovations of tomorrow.

Picture of Anshika Mathews
Anshika Mathews
Anshika is an Associate Research Analyst working for the AIM Leaders Council. She holds a keen interest in technology and related policy-making and its impact on society. She can be reached at
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