Galileo vs. LangSmith
Learn why AI teams choose Galileo over LangSmith for agent observability. Real-time guardrails, 97% cost savings, framework flexibility, and the ability to stop failures before they ship.
Choose Galileo When You Need:
Production-Ready Capabilities:
Real-time protection for regulated workloads (financial services, healthcare, PII-sensitive)
Framework flexibility to avoid orchestration lock-in
Cost-efficient scale with 20M+ traces daily
Metric reusability across teams and projects
Sub-200ms guardrails that block failures inline
Agent-specific observability with session-level tracking
Deployment Flexibility:
SaaS, hybrid, or on-prem options
Data residency controls
SOC 2 Type II + ISO 27001 compliance
Economic Viability:
97% cost reduction vs. GPT-4 evaluations
No external guardrail subscriptions needed
No synthetic data tooling costs
No metric versioning infrastructure to build
Start Building Reliable AI Agents
Moving from reactive debugging to proactive quality assurance requires a platform built for production complexity.
Automated CI/CD guardrails:
Block releases failing quality thresholds
Multi-dimensional evaluation:
Luna-2 models assess correctness, toxicity, bias, and adherence at 97% lower cost
Real-time runtime protection:
Scan every prompt/response, block harmful outputs before users see them
Intelligent failure detection:
Insights Engine clusters failures, surfaces root causes, and recommends fixes
CLHF optimization:
Transform expert reviews into reusable evaluators in minutes