Galileo is excellent ML observability — embeddings, eval traces, data quality metrics for engineers. LabelSets LQS produces a cryptographically-signed cert your risk team and procurement officer can attach to model packages. Different audiences, different deliverables, often used together.
If your model is shipping, you need both. Galileo improves the data; LQS proves it. The cert from LQS is what your auditor wants on file when the model goes to MRM, FDA, or EU notification.
Embeddings, slice metrics, error analysis on unstructured data. Helps your ML team build better models faster.
19-dimension rating + Ed25519 signature + revocation registry. The output is the artifact your risk team files in the model package.
Galileo helps your ML team improve data quality during dev. LabelSets signs and certifies the final dataset for your risk team and procurement officer. The model package cites both: "Trained on dataset analyzed in Galileo (workspace: ...) · Quality rated by LabelSets LQS v3.1 (cert_hash: 3f1a…)". ML engineers and risk teams get what they need without arguing about whose tool wins.
Comparison reflects public capabilities as of 2026-04. Galileo is an exceptional product for ML engineering — see rungalileo.io.
Paste a HuggingFace or Zenodo URL on the homepage. Get a signed LQS cert in <1 second. Verify it offline against our public key.