Galileo AI Evaluate
What is Galileo AI Evaluate?
Galileo AI Evaluate is an AI observability and eval engineering platform for AI teams that turns live feedback, production traces, and subject-matter annotations into measurable datasets and tuned evaluators. It includes Capture your groundtruth, Build accurate evals, and Go from evals to guardrails, plus 20+ out-of-box evals, custom evaluators, and real-time guardrails. Customers include Writer, Cisco, NVIDIA, and MongoDB. Plans run Free $0, Pro $100/month, and Enterprise custom.
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At a glance
- Galileo AI Evaluate is best for AI teams who need evals, monitoring, and guardrails in one workflow.
- Free $0; Pro $100; Enterprise Custom
What does Galileo AI Evaluate do?
Galileo handles AI observability and eval engineering by turning live feedback, production traces, and subject-matter annotations into measurable datasets and tuned evaluators. Its workflow starts with Capture your groundtruth, then Build accurate evals, and finally Go from evals to guardrails so offline checks can control real agent behavior. The platform includes 20+ out-of-box evals for RAG, agents, safety, and security, plus custom evaluators for field-specific cases. At scale, Galileo monitors 100% of your traffic with Luna models at 97% lower cost, and its insights engine analyzes millions of signals across models, prompts, functions, context, datasets, and traces. Customers like Writer, Cisco, Ema, NVIDIA, Satisfi Labs, MongoDB, CrewAI, HP, and Clearwater Analytics use it to detect failure modes faster; one customer said they went from three days to minutes. Galileo also supports self-hosting in hosted, VPC, or on-prem deployments, with low-latency dedicated inference servers on Enterprise.
Why use Galileo AI Evaluate?
- It connects offline evals to production guardrails, so teams can move from testing to enforcement without glue code.
- Luna models let teams monitor all traffic at lower cost, which makes continuous evaluation practical at scale.
- The platform combines out-of-box evals with custom evaluators, so teams can cover common risks and field-specific behavior.
- Insights across millions of signals help teams find failure modes and hidden patterns faster than manual review.
- Deployment options include hosted, VPC, and on-prem, which helps teams match internal security and residency requirements.
Who is Galileo AI Evaluate for?
- ML engineers who need to turn production feedback into reliable evals.
- AI product teams who want to catch failures before users do.
- Platform teams who need guardrails that can control agent actions at runtime.
- Data science leaders who need faster debugging across prompts, tools, and traces.
- Enterprise AI teams who need deployment flexibility and stronger access controls.
What are Galileo AI Evaluate's key features?
Capture your groundtruth
Collect labeled examples from production traces and human review to build a groundtruth set from millions of signals for later evaluation.
Build accurate evals
Create custom evaluations with 20+ out-of-box evals and 3 Judges to measure quality against your own examples, not guesswork.
Go from evals to guardrails
Turn evaluation results into policies that inspect 100% of your traffic and stop bad outputs before users see them.
RAG Evals
Evaluate retrieval-augmented generation pipelines with trace-level checks, helping teams spot failures like less than 70% F1 scores before release.
Agent Evals
Test agent workflows across multi-step traces and tool use, so teams can catch failures early and improve reliability in minutes.
Safety Evals
Run safety checks on model outputs to detect harmful content and reduce failure rates such as the 15% Failure Detected pattern.
Security Evals
Assess prompts and responses for security risks, supporting enterprise controls like RBAC and SSO in hosted, VPC, or on-prem deployments.
Block harmful responses
Apply real-time guardrails to block unsafe responses at inference time, using NVIDIA NIM, NVIDIA NeMo, or an MCP server.
What does Galileo AI Evaluate integrate with?
- NVIDIA NeMo
- NVIDIA NIM
- MCP server
What are Galileo AI Evaluate's use cases?
ML engineers capture groundtruth
ML engineers who need to turn production feedback into reliable evals use Galileo AI Evaluate to capture their groundtruth from real traces, then build accurate evals that reflect what good looks like. That helps them debug prompt and model regressions faster and ship changes with fewer surprises.
AI product teams catch failures
AI product teams who want to catch failures before users do use Galileo AI Evaluate to run RAG Evals and Agent Evals on new releases, surfacing weak answers and broken tool behavior early. They can then tighten thresholds and reduce user-facing incidents before launch.
Platform guardrails for agents
Platform teams who need guardrails that can control agent actions at runtime use Galileo AI Evaluate to go from evals to guardrails, then create guardrail policies that block harmful responses. That gives them a practical way to stop risky actions without slowing down deployment.
Enterprise deployment with controls
Enterprise AI teams who need deployment flexibility and stronger access controls use Galileo AI Evaluate to standardize Safety Evals and Security Evals across sensitive workflows. With self-hosting options and enterprise controls, they can keep evaluation and guardrails aligned with internal governance.
How does Galileo AI Evaluate work?
- Connect your first data source or trace stream, then use Capture your groundtruth to label real production examples and define what correct behavior looks like for your team.
- Build accurate evals with Custom Evals, RAG Evals, or Agent Evals, using your labeled examples to measure quality across prompts, tools, and traces.
- Review failures in the dashboard, compare runs, and use the results to spot regressions, weak retrieval, unsafe outputs, or broken agent steps before release.
- Go from evals to guardrails by creating guardrail policies, then apply Safety Evals and Security Evals to decide when the system should warn, block, or escalate.
- Turn on Block harmful responses and monitor ongoing traffic so your team can keep improving thresholds, reduce risk, and ship updates with confidence.
How much does Galileo AI Evaluate cost?
Free
$0- For developers and small teams who want to experiment, iterate and build.
- Our Free plan includes:
- 5,000 traces per month
- Unlimited users
Pro
$100- Launch your app with confidence, on a plan that's built to grow with you.
- Everything in Free plus:
- 50,000 traces per month
- Standard RBAC
- Analytics & insights
- Dedicated support: Slack
- Pricing scales based on number of traces.
Enterprise
Contact us- For teams that need unlimited scale, security and support.
- Everything in Pro plus:
- Unlimited traces
- Custom rate limits
- Deploy: Hosted, VPC, or on-prem
- Security RBAC, SSO
- Dedicated CSM
- Real-time guardrails
- 24/7 Support: Slack, email, or phone
- Low-latency dedicated inference servers
- Forward deployed engineering support
Frequently asked questions
What is Galileo AI Evaluate?
Galileo AI Evaluate is an AI observability and eval engineering platform for AI teams that turns live feedback, production traces, and subject-matter annotations into measurable datasets and tuned evaluators. It includes Capture your groundtruth, Build accurate evals, and Go from evals to guardrails, plus 20+ out-of-box evals, custom evaluators, and real-time guardrails. Customers include Writer, Cisco, NVIDIA, and MongoDB. Plans run Free $0, Pro $100/month, and Enterprise custom.
How much does Galileo AI Evaluate cost? Is it free?
Galileo AI Evaluate has a free plan, with paid tiers including Pro at $100, Enterprise at Contact us.
What is Galileo AI Evaluate used for? Who is it for?
Galileo AI Evaluate is used for Capture your groundtruth, Build accurate evals, and Go from evals to guardrails. It's built for ML engineers, AI product teams, and Platform teams.
Does Galileo AI Evaluate have an API and what does it integrate with?
Galileo AI Evaluate doesn't publish a public API. It integrates with NVIDIA NeMo, NVIDIA NIM, MCP server.
Editor's read
Check the trace ceiling before rollout: Free includes 5,000 traces per month and Pro includes 50,000, with pricing scaling by trace volume. If your production traffic is likely to exceed that, Enterprise is the path to unlimited traces and custom rate limits.
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