Forward Deployed Engineer, Post-Sales

DatologyAI is building the future of AI training data. The company's core insight is simple but powerful: models are what they eat. A large portion of training compute is wasted on data that is already learned, irrelevant, or even harmful — leading to worse models that cost more to train and deploy.

DatologyAI has built a state-of-the-art data curation suite that automatically curates and optimizes petabytes of data to create the best possible training data for deep learning models. Their algorithms are modality-agnostic (not limited to text or images) and don't require labels, making them ideal for powering the next generation of large-scale AI models.

The results are dramatic:

• 7x–40x faster training depending on the use case
• Model performance improvements as if trained on >10x more raw data without increasing training cost
• Smaller models with fewer than half the parameters outperforming larger models, substantially reducing deployment costs

Founded in 2023, DatologyAI raised a total of $57.5M across a Seed and Series A round. Their investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance of optimizing training data for models.

The company is headquartered in Redwood City, California, operates in-office 4 days a week, and is rapidly scaling — growing from approximately 54 people to 80–90 by end of year as they close out a strong customer pipeline. Their engineering team is approximately 20 people with a flat organizational structure, offering early employees massive ownership and the opportunity to shape how infrastructure and products are built at a critical inflection point in AI.