Data quality
is the biggest
lever in AI.
Datology is the data refinery for AI model builders. It's the unfair advantage your team needs to turn your data and domain knowledge into models your competitors can't replicate.
Trusted by
The data refinery for AI.
Datology turns your data into high-quality training data for mid-training on open models or pre-training your own foundation models, all deployed on your private cloud.
It all starts with your data.
Datology runs on your data. We don't sell data. We don't source tokens. We make your data better.

The four-stage pipeline.
Clean
Remove poorly formatted, empty, short, and eval-contaminated data.
(01)Curate
Tailor the data by quality, task, and taxonomy to your use case.
(02)Create
Generate synthetic data to maximize task-relevance and diversity.
(03)Compose
Mix data sources optimally to produce staged training datasets.
(04)The data to build your high-performing model.
The output of the Datology pipeline is the high-quality data you need to to train a better model for your business.

Real results from teams building their own models.
Legal domain adaptation.
Mid-training against a proprietary legal corpus broke through the post-training ceiling on both public and proprietary evals, on a budget under 1% of base pre-training (100B mid-training vs. 15T pre-training).
Frontier open-weights model.
A frontier-class open weights MoE built without a frontier budget or research team. ~10 people, 20T tokens curated by Datology. Competitive with models trained by 170-person teams that raised $2B.
The frontier data research that ships in our product.
What customers say about partnering with Datology.

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 - Arcee AI

It really was like expanding my research team with an extra 30 world-class researchers…DatologyAI does everything they can to ensure the results are as good as possible.
Lucas Atkins - Arcee AI

Datology delivered clear, measurable improvements across both public and our proprietary legal evaluations, outperforming baseline models in legal reasoning, retrieval, and downstream tasks.
Jonathan Schwarz · Head of Research, Thomson Reuters

Build the model only you can.
Let's discuss how better data quality can help you build a better model for your business.