SaaS Ranking

Subprocessor list in MLOps and model serving

Naming the actual subprocessors is what turns a privacy promise into something you can check.

2 of 36 companies we measured here publish it, that is 6%. Last checked 2026-10-17.

6% here against 7% across every category we measure. MLOps and model serving sits below the overall share for this criterion.

This page counts companies, not product entries: a company with two products in this category is one company here and two rows below.

Back to Subprocessor list across all categories, or to MLOps and model serving.

The evidence at a glance
  • Found2
  • Not found at checked addresses34
  • Not measured1

37 companies in total. Unmeasured companies are excluded from the published share.

Published

The actual list is published, not just a promise to keep one.

VendorWhat we found
Nscale https://www.nscale.com/policies/sub-processorsChecked
Superwise https://superwise.ai/trust/Checked
No subprocessor list found.

We reached at least one address for each of these vendors and none of them carried it. That is what we found at the addresses we checked, on the date we checked them, and not a statement about what the vendor has.

VendorWhat we found
Anyscale 7 addresses checkedChecked
Baseten 7 addresses checkedChecked
BentoML 7 addresses checkedChecked
ClearML 7 addresses checkedChecked
Comet 7 addresses checkedChecked
CoreWeave 7 addresses checkedChecked
DataChain 7 addresses checkedChecked
Dataiku 7 addresses checkedChecked
DataRobot 7 addresses checkedChecked
Evidently 7 addresses checkedChecked
Fireworks AI 7 addresses checkedChecked
Flyte 7 addresses checkedChecked
Genesis Cloud 7 addresses checkedChecked
H2O.ai 7 addresses checkedChecked
Kedro 7 addresses checkedChecked
Lambda 7 addresses checkedChecked
Lightning AI 7 addresses checkedChecked
Metaflow 7 addresses checkedChecked
Mistral AI 7 addresses checkedChecked
Modal 7 addresses checkedChecked
Nebius 7 addresses checkedChecked
Northern Data 7 addresses checkedChecked
Paperspace 7 addresses checkedChecked
Replicate 7 addresses checkedChecked
RunPod 7 addresses checkedChecked
Seldon 7 addresses checkedChecked
StackIt 7 addresses checkedChecked
Together AI 7 addresses checkedChecked
Union 7 addresses checkedChecked
Valohai 7 addresses checkedChecked
Vast.ai 7 addresses checkedChecked
Wallaroo 7 addresses checkedChecked
Weights & Biases 7 addresses checkedChecked
ZenML 7 addresses checkedChecked
Not measured

We could not look at these, or their robots.txt asks us not to. That says something about our measurement, not about them, and they are left out of the percentage above.

VendorWhat we found
Domino The vendor’s robots.txt excludes us from at least one of these addresses, so this was not measured.Checked

Other criteria in MLOps and model serving

Subprocessor list in related categories

Found something we missed? Tell us. A correction moves that vendor into our next nightly run. That run reads the same fixed addresses we check for every vendor, not the address you send.