About Galileo

Galileo provides an Evaluation Intelligence Platform that enables AI teams to evaluate, monitor, and optimize generative AI applications at enterprise scale using research-backed metrics and adaptive smart metrics. The platform addresses the measurement challenges in non-deterministic AI systems, offering faster production times and improved visibility into complex AI operations.

```xml <problem> Generative AI applications present unique measurement challenges due to their non-deterministic nature, making it difficult for AI teams to evaluate, monitor, and optimize performance at scale. Traditional metrics often fail to capture the nuances of AI outputs, leading to slower production times and limited visibility into complex AI operations. </problem> <solution> Galileo offers an Evaluation Intelligence Platform that enables AI teams to evaluate, monitor, and optimize generative AI applications at enterprise scale. The platform leverages research-backed metrics and adaptive smart metrics to address the measurement challenges inherent in non-deterministic AI systems. By providing comprehensive visibility into AI operations, Galileo helps teams accelerate production cycles and improve the overall quality and reliability of their AI applications. The platform includes modules for experimentation, monitoring, debugging, and security, ensuring a holistic approach to AI evaluation. </solution> <features> - Model and prompt playground for rapid experimentation - A/B testing capabilities for comparing different AI configurations - Comparison dashboards and leaderboards for performance tracking - Tracking and visualization tools for monitoring key metrics - Prompt store and versioning for managing prompt variations - Luna Evaluation Suite: Research-backed metrics optimized for cost, latency, and accuracy - Auto-adaptive smart metrics that improve based on usage and feedback - Galileo Wizard: Inference optimization for production throughput - Support for cloud, SDK, on-prem, and hybrid deployment models </features> <target_audience> The primary target audience includes AI teams within enterprises that are building and deploying generative AI applications and require a robust platform for evaluation, monitoring, and optimization. </target_audience> ```

What does Galileo do?

When was Galileo founded?

Galileo was founded in 2021.

Founded

2021

Employees

109 employees

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Galileo

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Executive Summary

rungalileo.io 7K+

Founded 2021

Funding

No funding information available.

Team (100+)

No team information available.

Company Description

Problem

Generative AI applications present unique measurement challenges due to their non-deterministic nature, making it difficult for AI teams to evaluate, monitor, and optimize performance at scale. Traditional metrics often fail to capture the nuances of AI outputs, leading to slower production times and limited visibility into complex AI operations.

Solution

Galileo offers an Evaluation Intelligence Platform that enables AI teams to evaluate, monitor, and optimize generative AI applications at enterprise scale. The platform leverages research-backed metrics and adaptive smart metrics to address the measurement challenges inherent in non-deterministic AI systems. By providing comprehensive visibility into AI operations, Galileo helps teams accelerate production cycles and improve the overall quality and reliability of their AI applications. The platform includes modules for experimentation, monitoring, debugging, and security, ensuring a holistic approach to AI evaluation.

Features

Model and prompt playground for rapid experimentation

A/B testing capabilities for comparing different AI configurations

Comparison dashboards and leaderboards for performance tracking

Tracking and visualization tools for monitoring key metrics

Prompt store and versioning for managing prompt variations

Luna Evaluation Suite: Research-backed metrics optimized for cost, latency, and accuracy

Auto-adaptive smart metrics that improve based on usage and feedback

Galileo Wizard: Inference optimization for production throughput

Support for cloud, SDK, on-prem, and hybrid deployment models

Target Audience

The primary target audience includes AI teams within enterprises that are building and deploying generative AI applications and require a robust platform for evaluation, monitoring, and optimization.