DataRobot Overview

DataRobot is a generative and predictive AI platform that helps enterprises build, implement, and optimize multi-cloud GenAI technology and Machine Learning (ML) models across the organization. DataRobot experts create personalized AI systems and roadmaps, including new AI deployments and integrations with existing applications, to help companies in every industry transform into AI-driven enterprises.

Key DataRobot Capabilities

The key DataRobot capabilities and features include the following:

• Generative AI: DataRobot helps enterprises build, operate, and optimize generative AI systems that generate data insights and provide scalable automation tools.
• API-First Integrations: DataRobot offers API-first integrations to give companies control and flexibility in generative AI components such as Large Language Models (LLMs), vector databases, and embedding models. Companies can also bring their own models for experimentation and optimization on the DataRobot platform.
• Generative AI App Builder: DataRobot provides centralized tools for building and prototyping generative AI apps, including AI accelerators and a sandbox for testing.
• Vector Database Builder: DataRobot provides a Vector Database Builder that enterprises can use to scale LLMs while keeping data secure.
• AI App Integrations: DataRobot integrates generative AI technology into existing applications and systems to improve workflows.
• Centralized Generative AI Asset Management: DataRobot is a centralized platform where organizations can safely manage all of their generative AI assets in one place.
• Custom Performance Analytics: DataRobot provides customizable performance analytics to help enterprises measure and improve generative AI systems and apps.