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Average Ratings 0 Ratings

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features
design
support

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Write a Review

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

LayerLens serves as an autonomous platform dedicated to evaluating AI models, providing insights into their performance through verified benchmarks, prompt-specific outcomes, agentic comparisons, and audit-ready assessments across different vendors. This platform enables teams to conduct side-by-side comparisons of over 200 AI models, utilizing transparent benchmarks and consistent evaluation techniques focused on accuracy, latency, behavior, and practical application in real-world scenarios. Designed for comprehensive model analysis, LayerLens features Spaces that allow teams to organize benchmarks and evaluations, identify strengths in tasks, and monitor performance trends in relevant contexts. The platform also facilitates ongoing evaluations by continuously assessing model updates, prompt modifications, judge changes, and live traces, thereby empowering teams to identify issues like quality regressions, drift, silent failures, contamination, and policy concerns before they impact production. By prioritizing transparency and collaboration, LayerLens ensures that teams can make informed decisions about their AI model choices.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

OpenAI Yes 
Amazon Bedrock Yes 
Amazon SageMaker Yes 
Anthropic No 
Cohere No 
Databricks No 
Gemini 1.5 Flash Yes 
Gemini 1.5 Pro Yes 
Gemini 2.0 Flash Yes 
Gemini Enterprise Yes 
Gemini Nano Yes 
Google AI Plus Yes 
LangChain Yes 
Meta AI No 
Mistral AI No 
PaLM 2 Yes 
Perplexity No 
Qwen No 

Integrations

OpenAI Yes 
Amazon Bedrock No 
Amazon SageMaker No 
Anthropic Yes 
Cohere Yes 
Databricks Yes 
Gemini 1.5 Flash No 
Gemini 1.5 Pro No 
Gemini 2.0 Flash No 
Gemini Enterprise No 
Gemini Nano No 
Google AI Plus No 
LangChain No 
Meta AI Yes 
Mistral AI Yes 
PaLM 2 No 
Perplexity Yes 
Qwen Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
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 No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

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

Customer Support

Business Hours No 
Live Rep (24/7) No 
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 No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Cisco

Country

United States

Website

www.galileo.ai/

Vendor Details

Company Name

LayerLens

Country

United States

Website

stratix.layerlens.ai/

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

Alternatives

Alternatives

DeepEval Reviews

DeepEval

Confident AI