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Description

Utilize BenchLLM for real-time code evaluation, allowing you to create comprehensive test suites for your models while generating detailed quality reports. You can opt for various evaluation methods, including automated, interactive, or tailored strategies to suit your needs. Our passionate team of engineers is dedicated to developing AI products without sacrificing the balance between AI's capabilities and reliable outcomes. We have designed an open and adaptable LLM evaluation tool that fulfills a long-standing desire for a more effective solution. With straightforward and elegant CLI commands, you can execute and assess models effortlessly. This CLI can also serve as a valuable asset in your CI/CD pipeline, enabling you to track model performance and identify regressions during production. Test your code seamlessly as you integrate BenchLLM, which readily supports OpenAI, Langchain, and any other APIs. Employ a range of evaluation techniques and create insightful visual reports to enhance your understanding of model performance, ensuring quality and reliability in your AI developments.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Bedrock
Amazon SageMaker
Azure OpenAI Service
Gemini
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0
Gemini 2.0 Flash
Gemini Enterprise
Gemini Enterprise Agent Platform
Gemini Nano
Gemini Pro
Google AI Plus
LangChain
OpenAI
PaLM 2

Integrations

Amazon Bedrock
Amazon SageMaker
Azure OpenAI Service
Gemini
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0
Gemini 2.0 Flash
Gemini Enterprise
Gemini Enterprise Agent Platform
Gemini Nano
Gemini Pro
Google AI Plus
LangChain
OpenAI
PaLM 2

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

BenchLLM

Website

benchllm.com

Vendor Details

Company Name

Cisco

Country

United States

Website

www.galileo.ai/

Product Features

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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