Galileo
Galileo — ML data observability platform for finding and fixing bad training data in NLP and computer vision pipelines.
Our Verdict
Worth it if bad data is actively blocking your model quality; overkill for small projects.
Pros
- Finds mislabeled and noisy training data fast
- Works across NLP, CV and LLM pipelines
- Evaluation suite useful for RAG and agents
Cons
- Pricey for small ML teams
- Setup requires SDK instrumentation in pipelines
- Overlaps with in-house tooling at larger labs
Best for: ML teams shipping NLP, CV or LLM models where data quality drives metrics
Not for: Early-stage prototypes or teams without a formal MLOps pipeline yet
When to Use Galileo
Good fit if you need
- Monitoring LLM output quality and hallucinations in production
- Running automated evals for RAG retrieval quality and grounding
- Detecting prompt injection or policy violations at inference time
- Debugging LLM application failures with trace-level visibility
Lock-in Assessment
High 4/5
Lock-in Score 4/5
Data Portability: api_only
Pricing
Price wrong?Galileo Pricing
- Pricing Model
- freemium
- Free Tier
- Yes
- Entry Price
- —
- Enterprise Available
- No
- Transparency Score
- —
Beta — estimates may differ from actual pricing
1,000
1001K10K100K1M
Estimated Monthly Cost
$25
Estimated Annual Cost
$300
Estimates are approximate and may not reflect current pricing. Always check the official pricing page.
Community Discussion
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