Gretel

Hi Product Hunters I am one of the many team members that came together to help build the Gretel Navigator product from the ground up to help builders like yourself gain fast access to high-quality data. Until now, acquiring data has not been a simple task. Data acquisition efforts strain organizational resources, come at exorbitant costs, introduce significant delays to projects, and are accompanied by a myriad of privacy concerns over appropriate data use. With Navigator, anyone can iteratively design or edit existing high-quality tabular datasets with a simple prompt. It makes creating quality tabular datasets in seconds a real possibility and removes the data bottleneck for powering the next generation of AI. All this is made possible by Gretel’s compound AI architecture that leverages multiple LLMs, including Gretel’s own models trained on datasets from more than ten different industry domains, that brings quality and speed to tabular data generation. Since its release in beta last November, community adoption of Gretel Navigator has grown significantly. With more than 10,000 service requests, today the Gretel community uses Navigator for a diverse range of use cases, including: training foundation LLMs and industry-focused SLMs, fine-tuning language models for new tasks, creating RAG model evaluation datasets, building intelligent applications, and even powering personalized demos for solution engineering teams. Today, Gretel Navigator becomes generally available for everyone. We are excited to open up Gretel Navigator to the ProductHunt community and look forward to hearing what use cases you pursue as well as your general feedback on what we’ve built.

We are thrilled to bring Navigator to market so anyone can build and experiment with data, easily and safely.

Excited to see this live! Congrats to the entire team!