DatologyAI

DatologyAI provides automated data curation technology that optimizes training data for generative AI models, enabling faster training, better performance, and smaller model sizes at lower cost. The platform automatically identifies and prioritizes the highest-value data points from petabyte-scale datasets, eliminating the waste and performance degradation caused by random sampling of low-quality training data. Manual data review cannot scale to petabyte volumes, so DatologyAI automates curation to reduce training costs, improve model quality, and increase deployment speed. The platform supports multiple data modalities including text, images, and audio. Customers including Thomson Reuters have achieved measurable improvements in legal reasoning, retrieval, and downstream tasks with minimal data budget, demonstrating the strength and generalizability of the approach. The company enables organizations to train models to the same performance 10x faster at one-tenth the cost, or achieve better model performance with no additional compute. Founded in 2023 and headquartered in Redwood City, United States, the company has raised approximately $57.6M in Series A funding from investors including Microsoft, Amplify Partners, Radical Ventures, Alexa Fund, M12, and Conviction.

AI Infrastructure > Enabling Technologies > Software > Data Preparation

Company Wise > Facebook, Amazon,

College Wise > McGill University, Harvard University, Harvard Business School