DatologyAI

license

Proprietary

source

closed

A fully proprietary automated-curation engine, VPC-deployed, with no source available and no open core - the closed analogue to datatrove and NeMo Curator in the science-of-data-curation niche.

• https://www.datologyai.com recorded 2026-09-29

  Homepage: "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." Searched the body for open source, self-host, on-prem, github, pip install and license terms: none ("Licensed" appears only as a data-source type).

• https://www.datologyai.com/product recorded 2026-09-29

  Product page: "Four research-driven stages turn your public, proprietary, and licensed data into multi-stage training datasets. All running in your environment, operated by your team." Searched the body for open source, self-host, on-prem, github, pip install and license terms: none ("licensed" appears only as a data-source type).

About $57.5M raised with high-profile backers - the Series A announcement figure, and the only funding number this record has - but the company is early-stage with no named frontier-lab deployments. That makes the traction credibility rather than proven scale, so the level is directional.

• https://aibusiness.com/data/startup-raises-46m-to-revolutionize-ai-dataset-curation recorded 2026-08-13

  ~$46M Series A (total ~$57.5M) for automated data curation

Datology's platform is specialized for curation, from deduplication through synthetic-data steps, and no independent benchmark of its output is cited.

• https://www.datologyai.com recorded 2026-09-29

  Homepage describes "The four-stage pipeline." for turning data "into high-quality training data for mid-training on open models or pre-training your own foundation models".

• https://www.datologyai.com/product recorded 2026-09-29

  Product page names the stages "Redundancy Reduction", "Robust Rephrasing" and "Multi-Phase Composition" within "Four research-driven stages turn your public, proprietary, and licensed data into multi-stage training datasets".