Build

Train and Tune

Fine-tune your generative and predictive solutions to deliver exceptional outcomes.

Trade in manual management for a workspace that just lets you work how you want, share projects and collaborate.

Refine Your GenAI ‘Recipes’

Tweak and tune your generative AI ‘recipes,’ like prompting or chunking strategies, to perfectly suit your organization’s needs.

Filter the Signal and Remove the Noise

Evaluate multiple problem framings, discover the most relevant features, and focus on identifying the most significant factors.

Track and Optimize Experiments

Test different combinations of data preprocessing, and parameter settings, and models to select the best-performing model to move for production.

Craft Well-Structured GenAI Prompts and Inputs

Tweak and tune prompts or leverage different vector databases, and embedding and chunking strategies to perfectly suit your organization’s needs—whether it’s adjusting the tone of voice, response length, or other useful factors. This means you can send diverse prompts to different Large Language Models (LLMs) and even play around with their hyperparameters and prompt templates.

Collaborate with Fully Managed Notebooks and Codespaces

Fully managed and hosted Notebooks and Codespaces allow you to focus on building AI, not infrastructure. Kickstart projects with AI Accelerator templates, work with code versioned in Git repositories, or start from scratch. Our environments come with the DataRobot API and popular libraries preinstalled, Code Assist facilitates code generation using Azure OpenAI Service and native scheduling capabilities for easy workflow automation. Track jobs within the DataRobot GUI and eliminate management headaches further with DataRobot Codespaces, featuring a persistent file system, integrated terminals, a tabbed file editor UI, and Git integration.

Train Your Use Case with Rich Library of Models

Address diverse data science challenges, from deep learning and time series forecasting to multilabeling, anomaly detection, and beyond. With just a few lines of code or a simple ‘Start’ click, DataRobot will generate models tailored for each AI use case, from proprietary, to Eureqa, deep learning, and genetic algorithm-based types, accommodating various sample sizes, features, and automated preprocessing steps. This lets you explore a wide-range of model types and combinations, and expand your portfolio of modeling techniques. You can also quickly create model factories to help you work through problems faster.

Tailor and Customize Models to Your Needs

Maintain full control over the customization and tuning of your models. Train multi-class models and better analyze their performance using the confusion matrix for efficient model development. With DataRobot, you get a clear snapshot of each model’s ongoing activities.

Easily track your pipeline’s progress, tweak hyperparameters, add custom preprocessing or algorithms, and slot in your own models and taks.

Our platform is all about flexibility. You’re in the driver’s seat, crafting models that perfectly fit your unique needs.