Galileo · 0 reviews

Galileo

End-to-end platform for building, evaluating, and monitoring generative AI applications with confidence

Active Learning Tools

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About Galileo

Galileo is a comprehensive platform designed to accelerate the development lifecycle of generative AI applications. It provides teams with integrated tools for generating, evaluating, and monitoring LLM products throughout their journey from development to production deployment. The platform automates critical validation workflows, enabling data scientists and engineers to identify quality issues, refine model outputs, and ensure robust performance at scale. Galileo's observability capabilities deliver real-time insights into application behavior, helping teams diagnose failures and optimize performance. Through AiDOOS marketplace integration, Galileo extends its capabilities with seamless governance workflows, enhanced model evaluation frameworks, and scalable infrastructure for managing large-scale AI deployments. Teams gain access to pre-built evaluation metrics, automated testing pipelines, and comprehensive monitoring dashboards that reduce time-to-market while maintaining production reliability and compliance standards.

Challenges It Solves

Difficulty validating and evaluating generative AI model outputs for quality and accuracy
Lack of visibility into LLM application performance in production environments
Time-consuming manual testing and refinement cycles delaying AI product launches
Challenges ensuring consistent output quality across diverse use cases and scenarios
Limited tools for monitoring and debugging failures in generative AI systems

Faster AI application development cycles

Improved model output quality and consistency

Reduced production issues and failures

Use Cases

LLM Product Development

Accelerate development of chatbot, content generation, and summarization applications with automated evaluation and rapid iteration capabilities.

72% Time-to-market reduced by six weeks

Production Monitoring and Debugging

Monitor deployed generative AI applications for quality degradation, hallucinations, and edge case failures with real-time alerting.

58% MTTR for critical issues decreased 65%

AI Safety and Quality Assurance

Validate LLM outputs against safety guidelines, compliance requirements, and business rules before production release.

81% Elimination of compliance-related production issues

Model Fine-tuning and Optimization

Compare model versions, evaluate fine-tuning effectiveness, and systematically improve outputs through data-driven experiments.

67% Improved model accuracy by 40-50% on key metrics

Enterprise LLM Governance

Establish organizational standards for LLM application quality, track performance across teams, and ensure consistent governance.

54% Standardized evaluation across enterprise teams

Pricing

Pricing available on request

Galileo pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.

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Key Features

Automated Evaluation Framework

Systematic assessment of LLM outputs

80% faster quality validation compared to manual review

Real-time Monitoring Dashboard

Complete visibility into application behavior

Immediate detection of performance degradation and anomalies

Generative Data Pipeline

Automated synthetic data and test case generation

Reduces manual data preparation time by 70%

Model Evaluation Metrics Library

Pre-configured evaluation criteria for common use cases

Deploy evaluation frameworks without custom coding

Production Observability Suite

Comprehensive logging and analytics for deployed models

Identify root causes of failures within minutes

Iterative Refinement Tools

Streamlined feedback loops for output improvement

Accelerate model optimization through structured experimentation

Reviews

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Enterprise Readiness

Data Encryption

API Authentication

Role-Based Access Control

Audit Logging

Compliance Ready

Integrations

8 total apps

Direct integration with GPT models for seamless prompt testing and evaluation

Native support for Claude LLM models with automated quality assessment

Integration with Hugging Face model hub for evaluating open-source LLMs

Compatible with LangChain framework for monitoring AI application chains

Version control and iteration tracking for prompt experiments

Integration with data warehouses for evaluation dataset management

Automated evaluation in development workflows and deployment gates

Notifications and alerts for critical monitoring events and test results

Virtual Delivery Center · A new delivery category

A Virtual Delivery Center for Galileo

Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.

Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
Refundable on unused Delivery Units, anytime — no questions asked
Re-delivery guarantee on acceptance miss
Pre-flight delivery sizing — you see the plan before you commit

Get a delivery plan for Galileo What’s a Virtual Delivery Center?

How a Virtual Delivery Center delivers Galileo

Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

Discover

Requirements & assessment

Integrate

Setup & data migration

Validate

Testing & security audit

Rollout

Deployment & training

Optimize

Performance tuning

Schedule a Meeting

Frequently Asked Questions

What types of generative AI applications can Galileo evaluate?

Galileo supports evaluation of any LLM-based application including chatbots, content generation, summarization, code generation, and retrieval-augmented generation (RAG) systems. It works with models from OpenAI, Anthropic, open-source models, and fine-tuned custom models.

How does Galileo integrate with our existing AI development workflow?

Galileo provides APIs and integrations with popular frameworks like LangChain, Hugging Face, and CI/CD tools. Through AiDOOS, teams can orchestrate Galileo evaluations as part of automated deployment pipelines and governance workflows.

Can Galileo monitor production LLM applications?

Yes, Galileo includes comprehensive production monitoring with real-time dashboards, automated alerting, and analytics. Teams gain visibility into model performance degradation, hallucinations, and edge case failures without modifying application code.

What evaluation metrics does Galileo provide out-of-the-box?

Galileo offers pre-built metrics for common use cases including factuality, relevance, safety, tone, and custom business metrics. The platform also supports custom metric definitions tailored to specific applications and requirements.

How can AiDOOS customers enhance Galileo's capabilities?

AiDOOS integration enables organizations to extend Galileo with custom evaluation logic, orchestrate multi-model evaluations, integrate with governance frameworks, and scale monitoring across enterprise deployments through the marketplace ecosystem.

Does Galileo support compliance and regulatory requirements?

Galileo provides audit logging, data residency options, and compliance-ready features supporting enterprise governance needs. Organizations can enforce quality gates and safety validations aligned with regulatory requirements before production deployment.