Galileo AI vs Respan (2026)
Updated February 28, 2026
Overview
Galileo is a data intelligence platform for AI that helps teams evaluate, debug, and improve LLM applications. It provides metrics for hallucination detection, context adherence, chunk quality, and response completeness. Galileo's guardrails can be deployed in production to catch quality issues in real-time.
Respan is LLM observability built into an AI router: nested traces for every agent run, evals on live production traffic, and a click from any score to its trace.
Key features
Core capabilities each platform advertises.
- LLM output quality evaluation
- Hallucination guardrails
- RAG evaluation metrics
- Data-centric AI debugging
- Automated error detection
- Nested traces for every LLM call, tool run, and agent turn
- Threads for multi-turn sessions
- Online evals on live production traffic
- LLM-judge, code, and human evaluators
- Datasets from production logs and experiments at scale
- Monitors with Slack, email, and webhook alerts
- Prompt versioning and deployment without code changes
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Generous free tier with 5,000 traces/month including Agent Reliability Platform
- Recognized as Gartner Cool Vendor demonstrating industry validation
- Research-backed metrics providing scientific rigor to evaluations
- Real-time observability with automated drift detection and alerting
- Established team of 142 employees providing solid support capacity
Cons
- Limited public information about advanced features and capabilities
- Pro plan pricing jumps from free to $100/month with potential gaps for small teams
- Less community-driven compared to open-source alternatives like Langfuse
Pros
- Every score links to the trace that produced it
- Evals run on live production traffic, not only on test sets
- Built into the router, so there's no separate gateway to integrate
- Monitors alert the moment a metric breaches
- Unlimited seats on the free plan
Cons
- The free plan retains data for 7 days
- The free plan includes 1k scores and 2 evaluators
- Ingestion throughput is metered per tier, starting at 412 logs per minute on Free
Galileo AI or Respan — which should you choose?
Choose Galileo AI if you wantChoose if you want
- Monitoring LLM output quality
- Detecting and preventing hallucinations
- Evaluating RAG pipeline accuracy
- Debugging data quality issues
- Continuous quality assurance
Choose Respan if you wantChoose if you want
- Debugging agent failures down to the step that broke
- Catching quality regressions before users report them
- Turning production failures into test datasets
- Testing a prompt or model change against real cases before shipping
- Attributing LLM cost to each end customer
Compare Galileo AI and Respan on your own traffic
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.
Try Respan free