Galileo
AI evaluation and observability platform for testing, monitoring, and improving AI systems
- Also known as
- galileo
What is Galileo?
A platform for building and evaluating AI systems that synthesizes test datasets from multiple sources, compresses expensive LLM evaluators into efficient models, and provides production monitoring with real-time observability.
What Galileo does
The capabilities that matter for ai evals testing, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Architecture model
- Managed enterprise saas
- LLM as a judge prompt grading framework
- ✓
- Specialized rag metrics faithfulness context relevance
- -
- Deterministic regex and json schema assertions
- -
- Synthetic test dataset generation from documents
- ✓
- Ci cd github actions pipeline blocking gates
- ✓
- Red teaming and adversarial vulnerability scanning
- -
- Multi model side by side ab regression testing
- -
- Human in the loop hitl annotation UI
- ✓
- Dashboard analytics for metric drift over time
- ✓
- SOC2 type ii
- -
- Mit or apache permissive oss license
- -
- Pricing model
- -
Integrations (1)
Independently observed- NVIDIA NeMo
Galileo alternatives
Other ai evals testing we track, ranked by the same independent score.
- Patronus AIAutomated evaluation and monitoring platform for testing and optimizing language models and AI agentslow · 30%
- TruLensA library for tracking and evaluating LLM applications to identify failure points and cost-saving opportunities.low · 29%
- LM Evaluation HarnessAn open-source framework for evaluating and benchmarking language modelslow · 35%
- OpenAI EvalsFramework for evaluating and benchmarking large language models and LLM-based systemslow · 22%
Compare Galileo
Side by side against other ai evals testing, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Galileo, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 75 | 0.03 | 2.4 | ✓ |
| Integrations | 9 | 0.04 | 0.3 | ✓ |
| Price level | 0 | 0.04 | 0.0 | - |
| Reliability | 0 | 0.05 | 0.0 | - |
| Security posture | 0 | 0.09 | 0.0 | - |
| Pricing transparency | 0 | 0.05 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Architecture model: managed_enterprise_saas · Human in the loop hitl annotation ui: Yes · Llm as a judge prompt grading framework: Yes · Ci cd github actions pipeline blocking gates: Yes · Dashboard analytics for metric drift over time: Yes · Synthetic test dataset generation from documents: Yes | mediumsource · 2026-08-21 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 1 | mediumsource · 2026-08-21 · 60% |
Is Galileo the right choice for you?
Tell us the job, the constraints and what you weigh most, and we will rank Galileo against the rest of the ai evals testing we index, using the same dated evidence weighted your way.
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