Agentic AI


AI tool calling. Call AI tools and components without friction.

Call any LLM or AI tool deployed in DataRobot from any dev environment.
Give agents seamless access to datasets, and prepare or transform them as needed.
Call AI tools with full version control at all times.
Power RAG workflows with vector databases, embedding models, and re-rankers.
Code-first AI pipeline builder. Build agentic AI workflows in a hosted development environment with the DataRobot API — so you can iterate quickly and fine-tune every step.

Use a hosted codespaces, powered by on-demand GPUs, to conveniently define agentic workflows and call AI tools.
Explore, transform, and manage datasets programmatically – no tool switching required.
Train and deploy models, then integrate them into agentic workflows to generate predictions.
Configure RAG pipelines, deploy generative AI models, and generate outputs.
AI tool creation platform. Deliver a bespoke array of AI tools for your agentic apps with end-to-end experimentation and development tools.
Seamlessly develop generative AI models through 1:1 comparison of LLMs, experimentation of different vector databases and embedding models, and streamlined ground truth and compliance testing.
Scalably explore hundreds of predictive models to find and customize based on the performance metrics most critical to your use case.
Quickly transforming raw dirty data into ready for AI training datasets and tabular databases.
Utilize different chunking methods, context awareness features and embedding indexing to rapidly build vector databases that are fast, context aware, and customized to your use case.
Library of pre-built agentic AI tools. Enhance your agentic applications with AI tools that can be built, customized, and deployed with a single line of code.

Empower data decision makers to query and analyze data across data sources, tables, or data warehouses in a self-service way.
Enable your agentic apps to provide time series forecast predictions with automatically generated summaries.
Give your agents the ability to turn outputs or predictions into usable emails or personalized customer-facing content.
Natively access a library of NVIDIA NIM and NEMO microservices. Enhance agentic AI applications with pre-built AI components that can process text, images, and PDFs that can be integrated in minutes not hours, with enterprise-ready governance and observability.

Ingest and extract insights from multimodal data sources like text, images, and PDF documents.
Turn live or recorded videos into structured summaries ready for use in conversational AI applications.
Intelligently direct prompts to the most appropriate model, ensuring optimal balance between reasoning depth and computational efficiency.
Create multimodal AI agents that create high-quality research reports in minutes.
Effortlessly utilize NVIDIA GPUs & NVIDIA Enterprise Al products. Optimize cost latency and availability by running NVIDIA GPUs on any cloud, on-premise, and hybrid cloud without advanced infrastructure knowledge — removing complex setup, tuning, and troubleshooting.

Deploy on any cloud, on-premises, or hybrid environment using NVIDIA GPUs, optimizing for latency and cost.
Use NVIDIA resources and NVAIE to deploy pre-built agentic workflows with minimal configuration.
Automatically manage containers and NVIDIA GPUs with NIM, reducing deployment friction.
Protect models from threats using NeMo Guardrails, seamlessly integrated for optimal safety.
Single-click deployment. Quickly deploy agentic applications with consistent quality, independent of external team dependencies. Maximize experimentation and agility by seamlessly hot swapping and updating AI tools without any broken pipelines or cross-functional assistance.

Fully managed infrastructure. Focus on building impactful agentic applications not managing resources.
Focus on developing AI without having to worry about managing, provisioning, or governing infrastructure.
Continually update predictive and generative models deployed in production while you sleep.
Ensure you always have access to powerful generative resources by acquiring GPUs on demand within the platform.
Generate predictions for any supervised learning use-case with a simple API call.
Bolt-on governance. Enable DataRobot to track and govern any AI app built anywhere with a single line of code.

AI agent and AI tool governance. Ensure every AI tool and component is safe, secure, and compliant.
Detect and mitigate misuse, threats, and hallucinations in real time using a library of pre-built guard models.
Run tests on LLMs and replace manual documentation with automatically generated reports
Debug issues with detailed logs of how AI responses align with your vector database.
Set up custom approval agentic workflows to govern team decisions and ensure smooth operations.
End-to-end agent and tool monitoring. Fully track your AI agents in production at the finest detail with metrics that are important to your business.

Track what matters most — like GPU costs or PII risks — by defining your own monitoring metrics.
Trace every decision and output back to its source for full auditability.
Monitor for performance degradation and uncover text or location-based data drift in production.
Generate detailed health reports automatically to meet stakeholder and compliance requirements.
Connect to build and manage AI tools
Use LLMs, generative workflows, vector databases, and predictive models — all on a flexible platform with pre-built components.
Deploy complex agentic pipelines anywhere
Optimize cost, latency, and availability by managing multiple AI tool deployments across clouds or on premise on leading GPUs without specialized infrastructure skills.
Ensure safety with enterprise-grade security, monitoring, and governance
Trace and monitor every workflow, input, and output — down to the underlying data — to ensure production quality and meet enterprise compliance standards.