Lilac is a tool designed to improve AI data quality through data exploration, filtering, clustering, and annotation.

Data scientists, AI developers, machine learning engineers, AI researchers, and data engineers.

Core features include interactive data exploration, LLM-powered filtering, clustering tools, and annotation capabilities.

By refining and enriching datasets, removing duplicates, and adding structured metadata, leading to more accurate and reliable AI models.

Lilac supports the web platform.

Sign up on the platform, upload your dataset, and use the available tools for exploration, filtering, clustering, and annotation.

Yes, Lilac includes PII detection and removal capabilities to ensure data privacy.

Yes, Lilac is designed to handle datasets of various sizes, offering tools to manage and enrich both small and large datasets.

Lilac automatically detects and removes duplicate entries, ensuring a more refined dataset.

Yes, Lilac allows users to export their enriched and refined datasets for further use in AI model training.