While others clean, we curate
Models are what they eat, which means they are only as good as the data they’re trained on. We filter out weak inputs and deliver curated datasets tailored to your use case.
Transforming data into model-ready power
Our platform solves data problems that slow down training and hurt model performance. All to help you get better results from the data you already have.
Filter the signal from the noise
We use a variety of techniques to separate high quality data from data that degrades model performance. Our platform catches quality issues that would be impossible to find when dealing with high volumes of data manually.
Synthetic data generation and enhancement
Create variations of your best content to get more from your training data. For example, break a document into questions and summaries that teach the same concepts from different angles, or make it take the form of how users might interact with it.
Control redundancy
Redundant data can be harmful or helpful, depending on its quality and relevance. Our deduplication process removes harmful exact and near-duplicates, and optimizes repetition for maximum benefit. You train better models and waste fewer compute resources.
Curation tailored to your applications
Provide us your use cases and we’ll search your pretraining data to find the most relevant samples and emphasize them during training.
Sequence data to maximize learning
Apply curriculum learning principles and present data in an order that builds understanding step-by-step. This structured approach improves how quickly models learn and primes them to be more post-trainable.
Multilingual curation
Our curation platform is natively multilingual, so the benefits of our curation aren’t limited to English-language capabilities. Your models scale to new regions and user groups faster, with less cost.
Keep your data. Get our expertise
Deploy DatologyAI in your infrastructure on-premises or via BYOC. Your data stays under your complete control. Full sovereignty and compliance prevent issues that slow down AI projects.
Better together
Our curation algorithms work together in sequence, where each step improves the output for the next. This compounding effect delivers higher data quality than any single method working alone.
It is a relief to be able to focus on what we’re really good at – infrastructure, model customization, and post-training – and know that I have a partner in DatologyAI that’s consistently making the data better.
Lucas Atkins
It is a relief to be able to focus on what we’re really good at – infrastructure, model customization, and post-training – and know that I have a partner in DatologyAI that’s consistently making the data better.
Lucas Atkins
Curated data. Your edge
DatologyAI works with open source or proprietary datasets to increase training value. Let's discuss how we can help you achieve better model performance, train faster, and reduce costs.