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Get Started

Register

Register your organization into Galtea’s platform

Quickstart

Understand how to execute evaluations to monitor the reliability of your products

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Evaluation Workflow

The typical workflow in Galtea follows these steps:

1

Create Product

Create a Product to represent your AI functionality
2

Create Version

Define a new Version of your Product with specific parameters
3

Create Test

Define a new Test with Test Cases to evaluate your Product
4

Run Evaluations

Test the Version against one Test using Evaluations and custom Metric Types
5

Analyze Results

Review and compare the performance of different Versions using the built-in analytics
6

Iterate

Create new Version with improvements and repeat the evaluation process

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Platform Access

You can interact with Galtea through multiple channels:

Web Platform

Access the full functionality through our web interface

API

Integrate with our REST API for programmatic access

Python SDK

Use our Python SDK for seamless integration

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Core Concepts

Galtea is built around several key concepts that work together to provide comprehensive evaluation of AI products:

Product

A functionality or service being evaluated

Version

A specific iteration of a product

Test

A set of test cases for evaluating product performance

Evaluation

A link between a product version and a test that groups evaluation tasks

Metric Type

Ways to evaluate and score product performance

Model

Way to keep track of your models’ costs