Datology is a data refinery for machine learning builders that cleans, curates, creates, and composes enterprise and public data for model training.
What it is
Datology is a specialized data refinement platform designed for machine learning model builders. Operating entirely on your private cloud, the system takes enterprise data, public web tokens, and licensed provider information and processes it through a dedicated pipeline to produce high-performing training sets. By maximizing the signal-to-noise ratio per token, the platform helps teams train better models faster and on smaller budgets.
Key features
- Clean phase removes poorly formatted, empty, short, and contaminated data
- Curate phase tailor-fits data by quality, task, and taxonomy for specific use cases
- Create phase generates synthetic data to maximize task relevance and diversity
- Compose phase mixes various data sources optimally for staged training datasets
- Private cloud deployment keeps enterprise data secure and internal
Who it's for
This platform is built for data engineering teams, researchers, and enterprises that want to train their own foundation models or perform mid-training on open models using proprietary domain knowledge.
Pricing
Check the official website for current pricing and to book a customized demonstration.
Use cases
- Clean poorly formatted training data
- Generate synthetic data for diverse tasks
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