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Description

Galileo is an AI observability and eval engineering platform designed to help teams evaluate, monitor, guardrail, and improve AI agents and applications. The platform connects the offline testing process with production governance, turning evals into guardrails that can control agent actions, tool access, escalation paths, and safety behavior. Galileo helps teams capture ground truth from synthetic data, development data, live production data, and subject matter expert annotations. Its evaluation capabilities include RAG evals, agent evals, safety evals, security evals, and custom evals that can be tuned to specific environments. Galileo’s Luna models distill optimized LLM-as-judge evaluators into compact models that run at lower cost and latency for production-scale monitoring. The insights engine analyzes traces, prompts, functions, context, datasets, models, and agent behavior to identify failure modes and recommend fixes. Teams can use Galileo to detect hallucinations, tool-selection failures, drift, bias, unsafe outputs, and other reliability issues before they harm production experiences. Deployment options include SaaS, virtual private cloud, and on-premises environments. By combining observability, eval engineering, production guardrails, ground-truth datasets, Luna models, insights, and enterprise deployment options, Galileo helps organizations build more reliable AI systems.

Description

With a suite observability tools, you can confidently evaluate, test and ship LLM apps across your development and production lifecycle. Log traces and spans. Define and compute evaluation metrics. Score LLM outputs. Compare performance between app versions. Record, sort, find, and understand every step that your LLM app makes to generate a result. You can manually annotate and compare LLM results in a table. Log traces in development and production. Run experiments using different prompts, and evaluate them against a test collection. You can choose and run preconfigured evaluation metrics, or create your own using our SDK library. Consult the built-in LLM judges to help you with complex issues such as hallucination detection, factuality and moderation. Opik LLM unit tests built on PyTest provide reliable performance baselines. Build comprehensive test suites for every deployment to evaluate your entire LLM pipe-line.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Azure OpenAI Service Yes 
LangChain Yes 
OpenAI Yes 
Amazon SageMaker Yes 
Claude No 
DeepEval No 
Gemini Yes 
Gemini 1.5 Flash Yes 
Gemini Enterprise Yes 
Gemini Enterprise Agent Platform Yes 
Gemini Nano Yes 
Gemini Pro Yes 
Hugging Face No 
LiteLLM No 
LlamaIndex No 
OpenAI o1 No 
Pinecone No 
Predibase No 
pytest No 

Integrations

Azure OpenAI Service Yes 
LangChain Yes 
OpenAI Yes 
Amazon SageMaker No 
Claude Yes 
DeepEval Yes 
Gemini No 
Gemini 1.5 Flash No 
Gemini Enterprise No 
Gemini Enterprise Agent Platform No 
Gemini Nano No 
Gemini Pro No 
Hugging Face Yes 
LiteLLM Yes 
LlamaIndex Yes 
OpenAI o1 Yes 
Pinecone Yes 
Predibase Yes 
pytest Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$39 per month
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Cisco

Country

United States

Website

www.galileo.ai/

Vendor Details

Company Name

Comet

Founded

2017

Country

United States

Website

www.comet.com/site/products/opik/

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

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Alternatives

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