​
What is a Product?

A product in Galtea represents a functionality or service that you want to evaluate. Examples include QA chat, Summarization, or Content Generation.
Even if your organization has a single public-facing product (like a website or dashboard for all user interactions), you should define separate Galtea products for each distinct functionality you want to evaluate.
You can create, view and manage your products on the Galtea dashboard. Products can also be viewed and managed programmatically using the Galtea SDK. A product in Galtea is associated with:

Version

A specific iteration of a product

Test

A set of test cases for evaluating product performance

Evaluation

A group of evaluable Inference Results from a particular session

​
SDK Integration

The SDK allows you to list existing products, retrieve specific products by their ID or name, and delete products. See the Product Service API documentation for more details.
Note that product creation is handled through the Galtea platform.

Product Service SDK

Manage products using the Python SDK

​
Product Properties

​
Product Name
Text
required
The name of your product. Example: “Document Summarizer”
​
Product Description
Text
required
Describe what your AI product does, who it serves, and its main use case. Focus on user experience, not technical details.
  • What to include: What the product does, who uses it, and its primary purpose.
  • What to avoid: Technical implementation details or internal jargon.

Learn how to write effective product descriptions in our detailed guide.
Example: “A mobile sales assistant that helps customers find and compare smartphones based on their needs and budget.”
​
Capabilities
Text
required
List what your product is specifically designed to do, and what kind of information has access to. This helps generate specifically targeted test cases.Example: “Can answer questions about phone specifications, recommend devices based on user preferences, can access past user purchases, compare prices across models, and provide information about warranties and accessories.”
​
Inabilities
Text
required
List technical limitations such as information and tools that the product do not have access to, and additionally the general scope boundaries. This prevents generation of irrelevant or misleading test cases.Example: “Cannot process purchases, access customer account information, or provide technical support for device repairs.”
​
Security Boundaries
Text
required
Things that the product must not do, although theoretically it has the capability to do so.Example: “Must not expose customer payment data, personal contact information, or internal inventory systems. Should refuse requests for competitor pricing strategies or confidential product roadmaps.”
​
RAG
Boolean
required
Indicates if the product uses Retrieval-Augmented Generation (RAG).
​
Conversational
Boolean
required
Indicates if the product is a chatbot or designed as conversational AI.
​
Function Calling
Boolean
required
Indicates if the product has function-calling capabilities.
​
External User Interaction
Boolean
required
Indicates if the product is aimed at interacting with external users.
​
Quality Testing Priority
Boolean
required
Indicates if quality and robustness testing is a priority for the product.
​
Red Teaming Priority
Boolean
required
Indicates if red teaming (security, safety, and bias) is a priority for the product.
​
Risk Level
Enum
required
The risk level of the product under the EU AI Act. Possible values:
  • GPAI: General-Purpose AI Model (Article 3(63), Title VIII A - Chapter 1).
  • GPAI Systemic: General-Purpose AI Model with Systemic Risk (Article 52a, referring to criteria in Article 52c).
  • Special System: AI Systems with Specific Transparency Obligations (Article 50).
  • High: High-Risk AI System (Article 6, Annexes I & III).
  • Prohibited: Prohibited AI Practices (Article 5).
    Legal definitions available in the Rules for trustworthy artificial intelligence in the EU.
​
Operator Type
Enum
required
The operator type of the product under the EU AI Act. Possible values:
  • Authorised Representative: An entity established in the EU, appointed by a provider from a third country, to act on their behalf regarding AI Act obligations.
  • Deployer: An entity that uses an AI system under its authority, except when the AI system is used in the course of a personal non-professional activity.
  • Distributer: An entity in the supply chain, other than the provider or importer, that makes an AI system available on the Union market.
  • Importer: An entity established in the EU that places on the market or puts into service an AI system bearing the name or trademark of a person established outside the Union.
  • Product Manufacturer: The manufacturer of a product that incorporates an AI system.
  • Provider: An entity that develops an AI system or that has an AI system developed and places it on the market or puts it into service under its own name or trademark.
    Legal definitions available in the EU AI Act.