Galileo

Galileo

Cisco
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About

DeepRails is an AI reliability platform that provides research-driven guardrails designed to continuously evaluate, monitor, and correct outputs from large language models to help teams build trustworthy production-grade AI applications; it offers multiple core services, including the Defend API to safeguard applications in real time with automated guardrails and correction workflows, and the Monitor API to observe AI performance, detect regressions, track quality metrics like correctness, completeness, instruction and context adherence, ground-truth alignment, and comprehensive safety, and alert teams before issues reach users. DeepRails’ unified console lets users visualize evaluation data, manage workflows, and configure guardrail metrics efficiently, while its proprietary evaluation engine uses a multimodel partitioned approach to score AI outputs against research-backed metrics that measure aspects.

About

Galileo is an AI observability and eval engineering platform that helps teams measure, protect, and improve AI systems in development and production. Now part of Cisco, the platform turns offline evaluations into production guardrails so teams can stop AI failures instead of only monitoring them. Galileo helps users build datasets from synthetic, development, and live production data, while capturing subject matter expert annotations as ground truth. The platform includes more than 20 out-of-the-box evals for RAG, agents, safety, security, and custom evaluation workflows. Its Luna models distill expensive LLM-as-judge evaluators into lower-cost, low-latency guardrails that can monitor production traffic. Built for enterprises and developers, Galileo helps teams debug failures, improve agent behavior, enforce AI policies, and ship AI applications with more confidence.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI engineers, developers, and product teams who need to monitor, evaluate, and safeguard large language model apps to ensure reliable, accurate, and safe AI-generated outputs

Audience

Galileo is best suited for AI engineering teams, enterprise AI teams, developers, data scientists, ML engineers, platform teams, RAG builders, agent builders, safety teams, security teams, and organizations that need AI observability, eval engineering, production guardrails, ground-truth datasets, LLM-as-judge optimization, hallucination detection, agent debugging, safety evals, security evals, and reliable AI deployment

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$49 per month
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

DeepRails
Founded: 2025
United States
www.deeprails.com

Company Information

Cisco
United States
www.galileo.ai/

Alternatives

Alternatives

Opik

Opik

Comet

Categories

Categories

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
Go
LangChain
OpenAI
PaLM 2
Python
Ruby

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
Go
LangChain
OpenAI
PaLM 2
Python
Ruby
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