AI EXPERIMENTATION

Build and Optimize

Support all your data science needs for generative AI and predictive models.

Unparalleled Choice and Flexibility

You have the power to leverage your preferred LLM along with a comprehensive library of both open-source and proprietary models for you to draw inspiration from and experiment with.

Easily Build, Customize, and Reuse AI Experiments

Stay laser-focused on creative experimentation and choose what, when, and how to build with our hosted notebooks offering, automated tools, and suite of code-first templates and integrations.

Run Many Experiments and Shrink AI Cycle Time

Leverage automated tools to quickly try new data sources, experiment with multiple problem framings, test thousands of possible combinations of data preprocessing, parameter settings and models, identify key drivers, and evaluate the best models to move into production.

Access Impactful Insights

Each resulting model comes with the right set of insights to help you evaluate it – like lift charts, profit matrixes, ROC curves, and data slices.

Tackle Any Generative and Predictive AI Use Case

DataRobot AI Platform gives you an array of options to experiment with both generative and predictive AI use cases. It provides out-of-the-box capabilities for a code-free or code-first approach and a wide support of data types in a single model – including location, text, documents, and images. Now you have the freedom to tackle any generative AI use case like question answering, text summarization, and content generation for your business needs. You can also tackle diverse range of data science predictive AI problems like deep learning, time series forecasting, multiclass, classification, multilabeling, anomaly detection, clustering, and regression.

Customize, Code, and Experiment Your Way

With DataRobot, code-first data scientists have the freedom to work however they want, and collaborate with low-code users to safely and effectively build models for their business use cases.
You can take advantage of models that DataRobot auto-generates for you, which are completely customizable, or you can build your own way using DataRobot hosted notebooks, with an advanced coding experience. Our notebooks give you the control and flexibility to create and experiment with the DataRobot SDK and your preferred open-source libraries, and create custom models, training pipelines and tasks.

Build Generative AI Use Case Fast

Easily create and manage vector databases, engage with your preferred LLM, rapidly experiment and optimize your prompts and deliver an accurate, user-friendly experience in hours. A suite of power tools such as Azure OpenAI-powered Code Assist and generative AI accelerators help you jumpstart your AI projects. Organized spaces for project management, hosted notebooks, and a sandbox for building and prototyping generative AI apps, DataRobot centralizes your workflow so you can focus on creating valuable AI solutions and not managing infrastructure.

Explore a Suite of Code-First Templates

Need to quickly kickstart your AI projects? We have a suite of code-first templates and integrations you can borrow, customize, and make your own. These include AI Accelerators, industry and product use-case templates built by our AI experts, and DataRobot Notebooks Code Assist integration with Azure OpenAI.

Rapidly Prototype and Track all your AI Experiments Together

Build and rank dozens of models for every AI use case, edit feature engineering steps, customize training pipelines with your preprocessing steps or algorithms, create data slices, and track all of your projects and artifacts in one location. And enjoy full flexibility to experiment, compare, and build the best model for your business.

Advanced Forecasting Time Series Techniques and Capabilities

Easily create highly accurate Time Series forecasts designed to handle thousands of series in a single project. With the DataRobot AI Platform you can simplify highly complex time series problems, and tackle everything from anomaly detection, cold-start, irregular series, and nowcasting in a single project or even a few lines of code. That’s why global banks, retailers, health systems, and manufacturers use DataRobot time series to run their operations.

Tackle Unstructured Data Challenges with Deep Learning Capabilities

Enhance the quality and performance of your models, and get valuable insights from unstructured data with advanced deep learning and NLP capabilities for text-based AI, supporting end-to-end PDFs ingest, preprocessing tasks, and seamless integration with both Foundational models like RoBERTa, TinyBert, MiniLM, and Hugging Face Models.