AI EXPERIMENTATION

Prepare Data for AI

Iterate fast and securely with automated data preparation for AI.

Start for Free

Minimize Data Movement

Maintain the control of your data governance across your cloud data warehouses and data lakes.

Explore and Create AI-Ready Datasets

Automate the discovery, testing, and creation of high-quality data for your generative and predictive AI use cases.

Enrich your Dataset with Generative AI and Automation

Easily enhance the quality and diversity of your dataset to train more robust and accurate models.

Gain Rapid Insights for Your Use Cases

Quickly identify and leverage the most impactful features from your datasets.

Maximize Your Cloud Data Warehouse and Data Lake Investment

Prepare your data faster, more securely, and with minimal data movement. Easily connect your AI processes with your existing data, infrastructure investments, and governance policies.

Learn More About Our Other Ecosystem Integrations

Streamline AI and ML Data Preparation

Identify signals in the data quickly and securely, and get robust data preparation and quality assessment designed for rapid prototyping and model development at speed and scale. Automate the labor-intensive data clean-up tasks like handling missing data and summarizing. And use operations like deduplication, table joining, and aggregation functions to save you hours, if not weeks, worth of work.

Discover New Features from Multiple Datasets

Automate your feature engineering pipelines. From complex data schemas and datasets across different data sources, now you can automatically discover, test, and create hundreds of valuable new features for your predictive models. Get the precision you need to improve model accuracy, without a lot of manual iterations.

Automate Feature Engineering Pipelines

Instead of getting caught up in repetitive tasks, automate your feature engineering to easily see the lineage of your data end-to-end, from the source to the models, through our model blueprints. You can also extend, customize and tune these blueprints the way you want. With a built-in library of a broad variety of algorithms that cover missing value imputation, data standardization, creation of text and visual embeddings, such as sentence RoBERTa and MiniLM, and many more, DataRobot intelligently tailors feature engineering steps to be compatible with a host of open-source and proprietary algorithms.

Streamline Versioning and Lineage

Easily track all generative and predictive AI projects, experiments, and datasets holistically, including features from your data sources. The journey from data preparation to deployment will always be tracked automatically. You can confidently upgrade LLMs and predictive models while DataRobot automatically captures the full lineage and versioning of what is happening with your data end to end.

Leverage Key Features in Your Feature Store

Take the relevant features that have automatically been built in DataRobot and write them to your existing feature store, enabling them to be registered, discovered, used, and shared across your organization.