Introducing Gretel Navigator Data Designer
Dramatically reduce the iterations and time required for data scientists, machine learning engineers, and data engineers to generate synthetic data at a high-quality, setting a new industry standard.
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Why try Gretel Navigator Data Designer?
AI engineers and data scientists face challenges when using large language models (LLMs) for creating synthetic data due to their limitations in creating diverse records at scale, filtering and evaluating outputs, and licensing restrictions.
Gretel Navigator Data Designer overcomes these barriers by generating realistic, diverse, and complex synthetic datasets that mirror real-world scenarios while safeguarding data privacy.
Key benefits
Enhance AI model performance
Improve reasoning, generalization, and task handling with code training.
Accelerate AI and ML development
Speed up model creation and evaluation with quick, reliable data generation.
Reduce cost
Save on data sourcing and labeling for training, evaluating, and fine-tuning models.
Superior quality
Achieve exceptional data quality from the start with compound AI technology.
Reduce mental overload
Leverage agentic workflows and AI feedback to automate pipeline creation and iteration.
Operationalize
Generate thousands of records and integrate them into your MLOps workflows.