Back to Arena

Galileo AI

by Galileo Technologies Inc.

System Card

OrganizationGalileo Technologies Inc.
Released2021-06
Architectureagentic-workflow / LLM evaluation with Luna foundation model
DetailsGalileo's core differentiator is Luna, a family of compact Evaluation Foundation Models fine-tuned specifically for hallucination detection, toxicity, prompt security, and data leak detection. ChainPoll methodology achieves 85% correlation with human feedback. Luna replaces expensive LLM-as-judge calls with low-latency, low-cost specialized models. Also offers guardrails, data curation, and issue triage.
Parameters—
Domainrag-retrievalagent-memory
Open SourceNo
WebsiteVisit
Luna-EFMhallucination-detectionguardrailsChainPollobservability

Capability Profile

Benchmark Scores

6 of 14 benchmarks
Data Transparency:6 estimated
Long-Context Retrieval
1/5
RULER
no data
NIAH
no data
LooGLE
no data
LongBench
603pEstimated
∞Bench
no data
Multi-Turn Recall
1/2
LoCoMo
76.866pEstimated
MemoryBank
no data
Cross-Session Memory
1/1
LongMemEval
78.969pEstimated
Multi-Hop QA
2/3
BABILong
no data
MultiHop-RAG
73.666pEstimated
HotpotQA
76.278pEstimated
Agent Task Memory
1/1
AgentBench-Mem
7226pEstimated
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
0/1
RAGAS
no data
Sources:Arena estimate — derived from capability profile, not independently verified